4th Annual

a2 National Symposium

March 19–20, 2026

Johns Hopkins Bloomberg Center | Washington, D.C.

Recordings coming soon
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Why Attend

Discover

Breakthroughs in AI, aging, and dementia care that redefine what’s possible.

Connect

Researchers, innovators, and funders shaping the future of healthy longevity.

Experience

Washington, D.C., in full bloom—ideas and cherry blossoms alike.

Powering Innovation Through Partnership

The a2 National Symposium is made possible by visionary sponsors and collaborators driving progress in AI, aging, and healthcare innovation.

SPONSORS AND SUPPORTING PARTNERS FOR EDUCATION AND TRAINING

HOSTED BY:

CO-HOSTED BY:

The a2 National Symposium is primarily funded by the National Institute on Aging, part of the National Institutes of Health.

Contact

For general questions about the symposium please contact:

Amanda Curran

Email: amanda.curran@roseliassociates.com

Speakers

Meet the Voices Shaping the Future of AI + Aging 

Panelist

Peter

Abadir

, MD

Associate Professor of Geriatric Medicine and Gerontology, John Hopkins University

Bio

Peter Abadir, MD, is an associate professor of geriatric medicine and gerontology at the Johns Hopkins University School of Medicine, with a joint appointment in the Johns Hopkins Whiting School of Engineering. Dr. Abadir’s research interests include changes in the renin angiotensin aldosterone system with aging, and the development of new technologies that will improve the health and well-being of older adults. He has been recognized by the Hopkins Department of Medicine with the W. Leigh Thompson Excellence in Research Award and was selected as the 2021 Salisbury Family CIM/HAP Scholar. Dr. Abadir is co-director of the Johns Hopkins Human Aging Project Gerotech Incubator Program and serves as co-principal investigator for JH AITC.

Peter

Abadir

, MD

Associate Professor of Geriatric Medicine and Gerontology, John Hopkins University

Co-Principal Investigator, JH AITC

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Panelist

Anna

Barnacka

, PhD

Founder and CEO, MindMics

Bio

Anna Barnacka, PhD, is the founder and CEO of MindMics, where she leads the development and commercialization of an AI-powered, in-ear infrasonic hemodynography platform for continuous cardiovascular monitoring using consumer in-ear devices. Trained as an astrophysicist, she holds PhDs in physics and astronomy and was a NASA Einstein Fellow at Harvard before transitioning into biomedical innovation. Beyond health technology, she is also a director of the Multiverse Concert Series and served as the scientific lead for Black Hole Symphony, interdisciplinary projects that bridge science, art, and music to make complex scientific ideas accessible to all.

Anna

Barnacka

, PhD

Founder and CEO, MindMics

a2 Pilot Awards Cohort 1, MassAITC

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Funder/Dealmaker

Keith

Camhi

, MBA, MS

Managing Director

Bio

Keith Camhi, MBA, MS, invests in and advises talented entrepreneurs at Techstars, where he is the managing director of the Techstars Healthcare Accelerator powered by Permanente Medicine in Washington, D.C. During his 7-year tenure at Techstars, he has led the global accelerator investment team, run accelerator programs with other prominent partners including Melinda Gates's Pivotal Ventures (Future of Longevity), Samvid Ventures (Economic Mobility), and J.P. Morgan (in Washington, D.C. and New York City), and has invested in nearly 80 startups.

Prior to Techstars, Camhi founded and scaled FitLinxx (securing over $50M in venture capital and reaching #20 on the Deloitte Fast 500) and Great Play (three-time Entrepreneur Franchise 500 honoree), and he served as an entrepreneur-in-residence for two funds focused on healthcare and early childhood development. He holds degrees from Cornell University and the Massachusetts Institute of Technology, and has been awarded multiple patents in sensor and machine vision technology.

Keith

Camhi

, MBA, MS

Managing Director

Techstars

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Funder/Dealmaker

Tony

Chan

, JD

Partner and Global Co-Leader

Bio

Tony Chan, JD, is global co-leader of Orrick’s Life Sciences & HealthTech Sector. His practice focuses on representing private equity and strategic clients in the life sciences, healthcare, investment management and tech sectors on complex domestic and cross-border corporate transactions. Chan regularly advises on mergers and acquisitions (M&A), private equity, growth equity, and venture capital transactions, as well as on corporate governance, joint ventures, and corporate finance matters. He has been recognized for his life sciences and M&A work by a number of notable publications, including The Legal 500 US, Law360, IFLR1000, and Legal Media Group. In particular, Law360 highlighted his work in navigating the complex life sciences industry and key partnership negotiations between biotechnology and drug companies.

In addition, Chan sustains an active pro bono practice, serving as counsel to nonprofit organizations such as Aequitas, APAI Vote, Chefs Stopping Asian American Hate, Rebuilding Together Philadelphia, the Philadelphia Film Society, and the Harvard Asian American Alumni Alliance. Chan also serves as an adjunct professor at Georgetown Law School where he has taught Takeovers, Mergers, and Acquisitions since 2015.

Tony

Chan

, JD

Partner and Global Co-Leader

Orrick, Herrington & Sutcliffe LLP

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Moderator

Rama

Chellappa

, PhD

Professor of Electrical, Computer, and Biomedical Engineering, Johns Hopkins University

Bio

Rama Chellappa, PhD, is a Bloomberg Distinguished Professor in the Departments of Electrical and Computer Engineering and Biomedical Engineering at Johns Hopkins University (JHU). He serves as co-principal investigator for JH AITC and is the former interim director of the JHU Data Science and AI Institute. He is also a member of JHU’s Center for Imaging Science, Center for Language and Speech Processing, Institute for Assured Autonomy, and Mathematical Institute for Data Science.

Dr. Chellappa's work in computer vision, pattern recognition, and machine learning have had a profound impact on areas including biometrics, smart cars, forensics, and 2D and 3D modeling of faces, objects, and terrain, while his work in motion capturing and imaging shows promise for future use in health care and medicine. He is the author of Can We Trust AI?, a member of the National Academy of Engineering, and a Life Fellow of the Institute of Electrical and Electronics Engineers (IEEE). He completed his PhD in electrical engineering at Purdue University.

Rama

Chellappa

, PhD

Professor of Electrical, Computer, and Biomedical Engineering, Johns Hopkins University

Co-Principal Investigator, JH AITC

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Speaker

I. Glenn

Cohen

, JD

Deputy Dean and Professor of Law, Harvard Law School

Bio

I. Glenn Cohen, JD, is the deputy dean and James A. Attwood and Leslie Williams Professor of Law at Harvard Law School and serves as faculty director of the Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics. He is one of the world’s leading experts on the intersection of bioethics and the law, as well as health law. He is an elected member of the National Academy of Medicine and served as a faculty scholar for the Greenwall Foundation. He has spoken to NATO on biotechnology and human enhancement, addressed the OECD and members of the U.S. and the Korean Congress on medical AI policy, and advised former U.S. Vice President Kamala Harris on reproductive rights. He has provided bioethical advising and consulting to some of the largest healthcare companies in the world including Bayer, Otsuka, and Illumina. He has given grand rounds and lectured to medical and industry conferences across the world.

Cohen is the author of more than 300 articles and the author, co-author, editor, or co-editor of more than 20 books. His work has appeared in leading law, medicine, and science journals and has been frequently covered by or appeared in media venues such as PBS, NPR, ABC, NBC, CBS, CNN, The New York Times, The Washington Post, and The Boston Globe. He received his JD from Harvard Law School.

I. Glenn

Cohen

, JD

Deputy Dean and Professor of Law, Harvard Law School

a2 Collective External Advisory Panel Member

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Panelist

Nora

Connor

, PhD

Co-Lead, ACCESS Model

Bio

Nora Connor, PhD, is a data scientist and federal health technology expert who serves as co-lead for the ACCESS Model at the Center for Medicare & Medicaid Services (CMS) Innovation Center. In this role, she oversees implementation of outcome-aligned payments for technology-enabled healthcare. She also facilitates data reporting, data sharing, and real-time patient status updates to support care coordination.

Previously, she served as the director of data science and AI at Abt Global, where she drove the organization’s AI strategy and technical delivery for federal clients. Her innovations included using discrete event simulations to inform policy decisions, leveraging generative AI to support CMS rulemaking, and creating machine learning models to manage U.S. trade logistics. She holds a PhD in computer science from the University of Colorado.

Nora

Connor

, PhD

Co-Lead, ACCESS Model

Centers for Medicare & Medicaid Services Innovation Center

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Panelist

Sudeshna

Das

, PhD

Associate Professor of Neurology, Harvard Medical School

Bio

Sudeshna Das, PhD, is an associate professor of neurology at Harvard Medical School (HMS) and director of the Mass General Hospital (MGH) Biomedical Informatics Core. She serves as MassAITC co-principal investigator and AD/ADRD Pilot Core co-lead. Her lab develops and applies computational, statistical, and AI methods to big data—from molecular omics to electronic health data—to advance research and clinical care. Her work centers around advancing brain research, with a focus on Alzheimer’s disease and related dementias (AD/ADRD). Dr. Das also serves as co-lead for the Data Management and Statistical Core of the Massachusetts Alzheimer’s Disease Research Center (MADRC) and is a member of the National ADRC Clinical Task Force Technology subcommittee.

Prior to her appointments at HMS and MGH, Dr. Das managed a multidisciplinary team of scientists in the computational biology group at Millennium Pharmaceuticals and was senior program manager for life sciences with the Initiative in Innovative Computing at Harvard University. She is associate editor of two neurology journals and an ad hoc reviewer for 25+ journals spanning neuroscience and data science. She completed her PhD in biomedical engineering at Boston University.

Sudeshna

Das

, PhD

Associate Professor of Neurology, Harvard Medical School

Co-Principal Investigator, MassAITC

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Moderator

George

Demiris

, PhD

Professor of Nursing and Associate Dean, University of Pennsylvania

Bio

George Demiris, PhD, is the Penn Integrates Knowledge Mary Alice Bennett University Professor at the University of Pennsylvania, with joint faculty appointments in Penn Nursing’s Department of Biobehavioral Health Sciences and the Perelman School of Medicine’s Department of Biostatistics, Epidemiology, and Informatics. He also serves as associate dean for research and innovation at Penn Nursing and as co-principal investigator for PennAITech.

Dr. Demiris’s research focuses on the use of information technology to support older adults and their family caregivers and explore innovative solutions to promote independent aging and patient and family engagement. He is a co-founder of the Hospice Caregiver Research Network, an initiative led by researchers from various academic disciplines committed to designing and testing interventions to support family caregivers of patients at the end of life. Another area of his research includes the use of behavioral sensing, smart home, and Internet of Things technologies to promote independence for community-dwelling older adults and their families. He leads the Penn Community Collaboratory for Co-Creation (Penn4C).

George

Demiris

, PhD

Professor of Nursing and Associate Dean, University of Pennsylvania

Co-Principal Investigator, PennAITech

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Moderator

Amanda

DiBattista

, PhD

Acting Chief, Neurobiology of Aging and Neurodegeneration Branch

Bio

Amanda DiBattista, PhD, is the acting chief of the Neurobiology of Aging and Neurodegeneration Branch in the Division of Neuroscience at the National Institute on Aging (NIA). She leads initiatives focused on AI-based solutions to challenges in research and research administration, and her team oversees a multidisciplinary research portfolio on brain aging and Alzheimer’s disease.

Prior to joining NIA, Dr. DiBattista earned her PhD in neuroscience from Georgetown University. Her current research portfolio encompasses a broad range of fundamental mechanisms underlying the continuum from aging to neurodegenerative disease.

Amanda

DiBattista

, PhD

Acting Chief, Neurobiology of Aging and Neurodegeneration Branch

Division of Neuroscience, National Institute on Aging

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Panelist

Rafid

Fadul

, MD, MBA

Chief Medical Officer

Bio

Rafid Fadul, MD, MBA, joined ARPA-H in January 2026 and brings a unique combination of clinical expertise and healthcare innovation leadership to his role as the inaugural Chief Medical Officer (CMO) for ARPA-H. In this capacity, he reports to the agency’s Director.

After transitioning from bedside practice to healthcare technology entrepreneurship, Dr. Fadul has spent the past decade building and scaling companies at the intersection of clinical care delivery and digital health solutions. He joins ARPA-H from Zivian Health, a company he co-founded and led in developing comprehensive healthcare software platforms serving medical providers nationwide, addressing challenges in regulatory compliance, clinical workflow optimization, and data interoperability. Concurrently, Dr. Fadul served as an advisor to care delivery companies, where he oversaw clinical programs in longevity medicine and emerging therapeutics, maintaining direct connection to evolving patient care needs and clinical practice realities.  

Dr. Fadul is board-certified in internal medicine, pulmonary disease, and critical care medicine and holds an MD from the Georgetown Washington University, as well as an MBA from Johns Hopkins University.

Rafid

Fadul

, MD, MBA

Chief Medical Officer

Advanced Research Projects Agency for Health (ARPA-H)

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Moderator

Luigi

Ferrucci

, MD, PhD

Senior Investigator and Scientific Director

Bio

Luigi Ferrucci, MD, PhD, is a geriatrician and epidemiologist whose work centers on uncovering the biological mechanisms that drive physical and cognitive decline in older adults. As scientific director of the National Institute on Aging (NIA) since 2011, he has advanced interdisciplinary research that integrates neuroimaging, physiology, genomics, and emerging AI-enabled methods to better understand the aging process.

Dr. Ferrucci’s career spans decades of pioneering research, including leadership of the Longitudinal Studies Section at NIA and the Baltimore Longitudinal Study of Aging, as well as major contributions in the design of many epidemiological studies conducted in the United States and Europe.

Luigi

Ferrucci

, MD, PhD

Senior Investigator and Scientific Director

National Institute on Aging

Learn More

Agenda

a2 NATIONAL SYMPOSIUM | Empowering Innovation in AI/Tech + Aging

March 19–20, 2026

Hopkins Bloomberg Center

Washington, D.C.

March 18 Pre-Symposium Workshops: In addition to the March 19–20 symposium, for which registration is open to the public, the a2 Collective Coordinating Center is hosting pre-symposium training workshops on March 18 for principal investigators from the a2 Pilot Awards cohorts funded in 2025. March 18 workshops are by invitation only and participation is subject to space limitations. More details on workshop content are available here.

The a2 National Symposium will include keynote talks, panels, poster presentations/demos, networking opportunities, a speed mentoring session, and a pitch challenge. A preliminary agenda is available below, with additional speakers and details to be announced in the coming weeks. The agenda was last updated on March 24, 2026, to reflect final event details..

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Thursday, March 19, 2026
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Poster Presentations

#0 - An Automated Pipeline for Ventricle Volume and Shape Analysis and Subarachnoid Space Quantification in Normal Pressure Hydrocephalus
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PI(s):
Jerry Prince, PhD
Institution/Company:
Johns Hopkins University
AITC Affiliation:
JH AITC
#0 - AI-Driven Cognitive Assessment Program for Older Adults at Risk for Alzheimer's Disease
View Poster
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PI(s):
Meghan K. Mattos, PhD, RN, CNL | Serkan Sandikcioglu, MEM
Institution/Company:
University of Virginia | Calbium AI
AITC Affiliation:
JH AITC
#0 - Developing and Testing an Evidence-Based AI Dementia Care Navigation Assistant
View Poster
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PI(s):
Nikhil Patel | Halima Amjad, MD, MPH, PhD | Cynthia Fields, MD
Institution/Company:
Craniometrix
AITC Affiliation:
JH AITC
#0 - A Morphologic-Epigenomic Tool for Mapping Senescent Cells
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PI(s):
Timothy S. McConnell, PhD
Institution/Company:
AtlasXomics Inc.
AITC Affiliation:
JH AITC
#0 - Evaluating Virtual Agents for Older Adults Using Voice Cloning Technology
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PI(s):
Amit Mehta, MD | Camille Noufi, PhD
Institution/Company:
Amplifier Health Inc.
AITC Affiliation:
JH AITC
#0 - Living With a Robot Assistant? Early Resident Perspectives from a Senior Living Community
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PI(s):
Philip A. Cola, PhD | Peter John Whitehouse, MD, PhD
Institution/Company:
Case Western Reserve University
AITC Affiliation:
JH AITC
#0 - Frailty phenotype reveals heterogeneity in aging and distinct taurine associations
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PI(s):
Rebecca Keener, PhD
Institution/Company:
Johns Hopkins University
AITC Affiliation:
JH AITC
#0 - In-Home Assessment of Muscle Deterioration with AI-Enhanced Smartphone Sonometry
View Poster
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PI(s):
Renjie Zhao, PhD | Xinyu Zhang, PhD
Institution/Company:
Johns Hopkins | UCSD
AITC Affiliation:
JH AITC
#0 - A biological aging clock based on body composition from whole-body imaging
View Poster
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PI(s):
Vineet Raghu, PhD
Institution/Company:
Massachusetts General Hospital
AITC Affiliation:
JH AITC
#0 - SafeCircle: AI and Micro-Radar-Based Remote Monitoring for Patients with AD/ADRD
View Poster
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PI(s):
Nazmus Sakib, PhD
Institution/Company:
Kennesaw State University
AITC Affiliation:
JH AITC
#0 - AI-assisted prediction of healthy aging and Alzheimer's disease progression
View Poster
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PI(s):
Chaitanya Gupta, PhD | Steven E. Arnold, MD
Institution/Company:
Probius Inc.
AITC Affiliation:
MassAITC
#0 - Behavioral Analytics is the New Medical Device
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PI(s):
Rhoda Au, PhD, MBA
Institution/Company:
Boston University
AITC Affiliation:
JH AITC
#0 - Measuring Heart Rate using Biomagnetism-based Wearable Devices
View Poster
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PI(s):
Longfei Shangguan, PhD
Institution/Company:
University of Pittsburgh
AITC Affiliation:
MassAITC
#0 - Leveraging Digital Cognitive Rhythms to Detect ADRD Risk in Family Caregivers
View Poster
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PI(s):
Raeanne Moore, PhD | Yeonsu Song, PhD
Institution/Company:
UCSD | UCLA
AITC Affiliation:
MassAITC
#0 - Trialchat: Development of an AI Agent Companion to Encourage Participation in ADRD Clinical Trial
View Poster
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PI(s):
Timothy Mackey, PhD
Institution/Company:
S-3 Research LLC
AITC Affiliation:
MassAITC
#0 - Using AI to Repurpose Small Molecules to Target Amyloid-Tau Interactions in AD
View Poster
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PI(s):
Jeremy Linsley, PhD
Institution/Company:
Operant BioPharma
AITC Affiliation:
MassAITC
#0 - A Novel Digital Twin for Chronic Care Coordination and Healthy Aging
View Poster
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PI(s):
Katherine Kim, PhD, MBA, MPH
Institution/Company:
Health Tequity LLC
AITC Affiliation:
PennAITech
#0 - AI-based assessment of dementia etiologies
View Poster
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PI(s):
Vijaya Kolachalama, PhD | Rhoda Au, PhD, MBA
Institution/Company:
Boston University
AITC Affiliation:
JH AITC
#0 - AI-Driven Chatbot to Navigate Cognitive Care Plan for Persons with AD/ADRD
View Poster
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PI(s):
Bin Huang, PhD | Katherine Britt, PhD, RN
Institution/Company:
BrainCheck Inc.
AITC Affiliation:
PennAITech
#0 - AI-based Digital Cognitive Assessments for Early Detection of Dementia
View Poster
View Poster
PI(s):
Bin Huang, PhD
Institution/Company:
BrainCheck Inc. | University of Texas
AITC Affiliation:
JH AITC
#0 - Detection of Adverse Drug Event Using NLP Among Older Adults with Heart Failure
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PI(s):
Min Ji Kwak, MD, MS, DrPH | Sunyang Fu, PhD, MHI
Institution/Company:
University of Texas Health Science Center at Houston
AITC Affiliation:
PennAITech
#0 - Scalable Subtyping for Personalized Assessment of Late-life Social Disconnection
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PI(s):
Nili Solomonov, PhD | Logan Grosenick, PhD
Institution/Company:
Weill Cornell Medicine
AITC Affiliation:
PennAITech
#0 - Using explainable AI and deep learning for brain age prediction in older adults in clinical settings
View Poster
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PI(s):
Mehmet Kurt, PhD
Institution/Company:
KurtLab | University of Washington
AITC Affiliation:
PennAITech
#0 - Understanding aging and ADRD disparities using a c representative epigenetic clock
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PI(s):
Rory Boyle, PhD
Institution/Company:
University of Pennsylvania
AITC Affiliation:
PennAITech
#0 - Using AI to Detect CG Burden in Clinical Conversations
View Poster
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PI(s):
Nancy Hodgson, PhD, RN
Institution/Company:
University of Pennsylvania
AITC Affiliation:
PennAITech
#0 - WATCH: Warning Assessment and Alerting Tool for Cognitive Health
View Poster
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PI(s):
Kyra O'Brien, MD, MSHP
Institution/Company:
University of Pennsylvania
AITC Affiliation:
PennAITech
#0 - Patient-centered Precision Medicine Lab Result Communication for Older Adults
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PI(s):
Catherine Sarkisian, MD, MSHS
Institution/Company:
UCLA
AITC Affiliation:
AITC
#0 - A Personalized Evolvable AI Tool For Real-Time Testing and Intervening AD/ADRD
View Poster
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PI(s):
Chung-Yi Chiu, PhD | Mojtaba Khaliji, MS
Institution/Company:
University of Illinois Urbana-Champaign
AITC Affiliation:
JH AITC
#0 - Wearable in-shoe Sensors for Gait monitoring in NPH (Normal Pressure Hydrocephalus)
View Poster
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PI(s):
Jefferson W. Chen, MD, PhD
Institution/Company:
UC Irvine Health
AITC Affiliation:
JH AITC
#0 - Machine Learning to Assess Skin Frailty in Older Adults
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PI(s):
Anne Lynn Chang, MD
Institution/Company:
Stanford University
AITC Affiliation:
JH AITC
#0 - Enabling Feeding Assistance in Alzheimer's & Related Dementias
View Poster
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PI(s):
Jonathan Dekar | Zackory Erickson, PhD
Institution/Company:
DESiN LLC
AITC Affiliation:
MassAITC
#0 - Leveraging AI to Support Family Caregivers of People Living with Dementia
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PI(s):
Felipe Jain, MD | Finale Doshi-Velez, PhD
Institution/Company:
Massachusetts General Hospital
AITC Affiliation:
MassAITC
#0 - Determinants of Access to and Outcomes Following Specialized Palliative Care for Patients with AD/ADRD
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PI(s):
Emily Moin, MD, MBE | Scott Halpern, MD, PhD
Institution/Company:
University of Pennsylvania
AITC Affiliation:
PennAITech
#0 - mitoClock: AI-based mitochondria aging clock and aging biomarkers
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PI(s):
Hayan T. Lee, PhD
Institution/Company:
Fox Chase Cancer Center
AITC Affiliation:
JH AITC
#0 - Leveraging EHR and AI for High-Resolution ADRD Prevalence and Risk
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PI(s):
Kevin Konty, PhD
Institution/Company:
Apriqot Inc.
AITC Affiliation:
JH AITC
#0 - CAPTASK: Vision-Guided Context-Aware Task Assistance for Daily Activities
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PI(s):
Joyce Chai, PhD | Anson Kairys, PhD
Institution/Company:
University of Michigan
AITC Affiliation:
JH AITC
#0 - Continuous Monitoring of Alzheimer's Using Non-Invasive Wearable Sensing and AI
View Poster
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PI(s):
Sean Montgomery, PhD
Institution/Company:
Connected Future Labs
AITC Affiliation:
JH AITC
#0 - Identifying Digital Biomarkers for Early Cognitive Impairment
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PI(s):
Anis Davoudi, PhD
Institution/Company:
Johns Hopkins University
AITC Affiliation:
JH AITC
#0 - Re-Kinesis: Wearable Gait Analysis Laboratory for Aging Populations
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PI(s):
Nitish Thakor, PhD
Institution/Company:
Johns Hopkins University
AITC Affiliation:
JH AITC
#0 - Smart Robot Guide for Daily Care in People with Memory Loss
View Poster
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PI(s):
Fiona Yuan, PhD
Institution/Company:
Worcester Polytechnic Institute
AITC Affiliation:
JH AITC
#0 - Wearable Heart failure Socks for Exacerbation and Response to Treatment Monitoring
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PI(s):
Pamela Z. Cacchione, PhD, CRNP, RN
Institution/Company:
University of Pennsylvania
AITC Affiliation:
MassAITC
#0 - Biomarkers of Aging to Discover Geroprotectors in Cross-Sectional Biobank Data
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PI(s):
Jesse R. Poganik, PhD
Institution/Company:
Brigham and Women's Hospital
AITC Affiliation:
MassAITC
#0 - Contactless Cardiovascular Health Monitoring using AI-enabled mmWave Radar
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PI(s):
Justin Chan, PhD | Swarun Kumar, PhD
Institution/Company:
Carnegie Mellon University
AITC Affiliation:
MassAITC
#0 - Empowering Older Adults and Caregivers to Make Safe Nonprescription Medication Decisions
View Poster
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PI(s):
Eun Kyoung Choe, PhD
Institution/Company:
University of Maryland
AITC Affiliation:
MassAITC
#0 - Voiceitt: AI-Enabled Speech Recognition for Older Adults with Severe Dysarthria
View Poster
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PI(s):
Katie Seaver, MS, CCC-SLP
Institution/Company:
The Babel Group
AITC Affiliation:
MassAITC
#0 - AI-Driven Earpiece Wearable to Enhance Symptom Management, Self-Care, and Caregiver Support in AD/ADRD Patients
View Poster
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PI(s):
Selina Zhu, ScD | Paolo Bonato, PhD
Institution/Company:
Lumia Health Inc. | Spaulding Rehabilitation Hospital Boston
AITC Affiliation:
MassAITC
#0 - AudioSight AI-Powered At-Home Hearing Screening for Older Adults
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PI(s):
Wenyao Xu, PhD
Institution/Company:
Auspex Medix LLC
AITC Affiliation:
MassAITC
#0 - Scalable LLM facilitation for peer-to-peer support groups of informal caregivers
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PI(s):
Gregory Stock, PhD, MBA | Hamed Zamani, PhD
Institution/Company:
Socratic Sciences Inc. | University of Massachusetts Amherst
AITC Affiliation:
MassAITC
#0 - A Generative AI clinical Chatbot to support APOE Testing (GRACE)
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PI(s):
Angela R. Bradbury, MD
Institution/Company:
University of Pennsylvania
AITC Affiliation:
PennAITech
#0 - A Synthetic Data Approach to Catalyzing Innovation in Dementia Caregiver Support
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PI(s):
Karla T. Washington, PhD, LCSW
Institution/Company:
Washington University in St. Louis
AITC Affiliation:
PennAITech
#0 - Tailored Nutrition
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PI(s):
Tina R. Sadarangani, PhD, RN
Institution/Company:
New York University Rory Meyers College of Nursing
AITC Affiliation:
PennAITech
#0 - AI-Assisted Wellbeing Support System for Family Caregivers of Dementia Patients
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PI(s):
Ravi Karkar, PhD
Institution/Company:
University of Massachusetts Amherst
AITC Affiliation:
PennAITech
#0 - AI-Integrated Nanowell Biosensors for Multimodal Detection of Neurological Biomarkers
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PI(s):
Reza Mahmoodi, PhD
Institution/Company:
University of Denver
AITC Affiliation:
PennAITech
#0 - StepAhead - Breaking Free from FoG with Augmented Reality
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PI(s):
Nipun Chopra, PhD
Institution/Company:
DexTech Inc.
AITC Affiliation:
PennAITech
#0 - Counterforce Health: AI-Powered Health Insurance Appeals for Older Adults
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PI(s):
Kathryn Pollak, PhD | Neal Shah
Institution/Company:
Duke University School of Medicine | CareYaya Health Technologies Inc.
AITC Affiliation:
PennAITech
#0 - Developing a Multi-Agent AI System for Explaining Lab Results to Older Adults
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PI(s):
Zhe He, PhD
Institution/Company:
Florida State University
AITC Affiliation:
PennAITech
#0 - Interpreting Cellular Signatures of Alzheimer's Disease: A Proposed Explainable AI Framework Using Single-Cell Foundation Model
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PI(s):
Hong Qin, PhD, MS |Yaping Feng, PhD| Shunian Xiang, PhD
Institution/Company:
Old Dominion University | Admera Health
AITC Affiliation:
PennAITech
#0 - WISE Connect AI Personalized Local Support for Aging in Place
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View Poster
PI(s):
Marie Brodsky
Institution/Company:
WISE Connect
AITC Affiliation:
PennAITech
#0 - Transforming Frailty Assessment: At-Home, AI-Driven Approach to Detect Pre-Frail Decline
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View Poster
PI(s):
Evan Haas, MSE
Institution/Company:
CurveAssure
AITC Affiliation:
JH AITC
#0 - AI-Enhanced Home Music Therapy with Wearables for Older Adults with Stroke
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View Poster
PI(s):
Robert W. Nickl, PhD | Preeti Raghavan, MBBS
Institution/Company:
Johns Hopkins University
AITC Affiliation:
JH AITC
#0 - Caregiver-Guided Assistive Robot for Aging at Home
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View Poster
PI(s):
Nilanjan Chakraborty, PhD
Institution/Company:
Stony Book University
AITC Affiliation:
JH AITC
#0 - Transcriptomic Gene Regulators from snRNA-seq Analysis Improves AutoML Prediction of Alzheimer's Disease
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View Poster
PI(s):
Martin Nwadiugwu, PhD, MS, MA
Institution/Company:
Tulane University
AITC Affiliation:
JH AITC
#0 - Model Agnostic Prediction Infrastructure (MAPI) for Aging
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View Poster
PI(s):
Chris White
Institution/Company:
PreSquared LLC
AITC Affiliation:
JH AITC

Sponsors

Partner with the a2 Collective

Join a national $65M initiative advancing innovation in aging and AI.

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Sponsorship

For more information regarding sponsorship opportunities please contact Rose Li at rose.li@roseliassociates.com and/or Stephen Liu at s@a2collective.ai.

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We would like to thank the sponsors and supporting partners listed below. Please visit their websites to learn more about their initiatives.

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Location

Venue Details

The a2 National Symposium will be held on March 19–20 at the Johns Hopkins Bloomberg Center in Washington, D.C. Included below are some helpful details about the venue including information regarding parking and public transportation. 

Hopkins Bloomberg Center

Address:

555 Pennsylvania Ave, NW Washington, DC 20001

Telephone:

(202) 588-0597

Parking:

  • Garage Entrance: C Street NW (use “507 C Street NW” in GPS for accuracy)
  • Bloomberg Center Garage: Evening & weekend parking available; advance reservation recommended
  • Other Nearby Garages:
    • Colonial Parking Garage – 625 Indiana Ave NW (5-minute walk)
    • Atlantic Parking – 601 Pennsylvania Ave NW (3-minute walk)
    • District Center Garage – 555 12th Street NW (8-minute walk)
  • Note: Street parking is limited—please allow extra time for arrival.

Public Transporation:

  • Closest Metro Station: Archives–Navy Memorial–Penn Quarter Station (Green & Yellow Lines) – 4 min walk
  • Other Nearby Stations:
    • Judiciary Square Station (Red Line) – 7-minute walk
    • Federal Triangle Station (Blue, Orange & Silver Lines) – 10-minute walk
    • Gallery Place–Chinatown Station (Red, Green & Yellow Lines) – 10-minute walk
  • Bus Options: Multiple Metrobus routes serve Pennsylvania Ave NW—check WMATA app for real-time updates
  • Tip: SmarTrip cards or contactless payment accepted on Metro and bus
  • Johns Hopkins University Bloomberg Center 555 Pennsylvania Ave, NW Washington, DC 20001
  • Centrally located near the National Mall and major landmarks—easily accessible by Metro, bus, or rideshare.

Know before you visit

Experience Washington, D.C., in full bloom! March marks the city's stunning cherry blossom season, and it's a perfect backdrop as we gather to unlock the future of AI and AgeTech.

Places to visit

National Cherry Blossom Festival

Dates: March 20–April 12, 2026

Details: Celebrate spring in DC with parades, cultural performances, and the city’s iconic cherry blossoms. Perfect for attendees extending their stay.

Distance: ~2 miles (10 minutes by car or 25 minutes on foot)

Easiest Way to Get There: Walk or take Metro from Judiciary Square (Red Line) to Smithsonian Station

Georgetown Waterfront & The Wharf

Details: Enjoy an evening stroll or riverside dining after the symposium.

Distance: 2.5 miles (10–15 minutes by car)

Easiest Way to Get There: Take a rideshare or Metrobus (Route 38B) from 7th & Pennsylvania Ave NW to M St & Wisconsin Ave NW

Dining Ideas: Fiola Mare • Sequoia • La Vie

Smithsonian Museums & National Mall

Details: Explore DC’s most iconic attractions—all free to enter and open daily.

Distance: 0.7 miles (5–10 minutes by car or 15 minutes on foot)

Easiest Way to Get There: Walk straight down 7th Street NW or take Metro (Red Line) from Judiciary Square to Smithsonian Station

Must-See Highlights: National Museum of African American History and Culture • National Gallery of Art • National Air and Space Museum • U.S. Capitol and Library of Congress

Evening & Weekend Suggestions

• Friday Evening: Dinner in Penn Quarter or Chinatown (0.5 miles, 10-minute walk)

• Saturday, March 21: Cherry Blossom Festival or museum day

• Sunday, March 22: Brunch at Founding Farmers (1.2 miles, 7 minutes by car) or a relaxing stroll along the National Mall

Useful Links

Metro Trip Planner

DC Circulator Bus Routes

Registration

The 2026 a2 National Symposium has now concluded. Event recap and recordings will be posted to the a2 Collective website when available.