Moderators

  • Abadir, Peter

    Peter Abadir, MD, Associate Professor of Geriatric Medicine and Gerontology at John Hopkins University School of Medicine; Co-PI at JH AITC

    About: Dr. Peter Abadir is the 2021 Salisbury Family CIM/HAP Scholar. He is an Associate Professor of Geriatric Medicine and Gerontology at the Johns Hopkins University School of Medicine, with a joint appointment in the School of Engineering. His area of clinical expertise is geriatric medicine. 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 is the co-director of the new Gerotech Incubator Program.

    Dr. Abadir serves as Co-Principal Investigator for JH AITC.

     

     

  • Choudhry, Niteesh

    Niteesh Choudhry, MD, PhD, Center Director for the Massachusetts AI and Technology Center for Connected Care in Aging and Alzheimer’s Disease and Professor, Harvard Medical School; Executive director for the Center for Healthcare Delivery Sciences at Brigham and Women’s Hospital

    About: Niteesh K. Choudhry, MD, PhD, is Professor of Medicine at Harvard Medical School, Professor in the Department of Health Policy and Management at the Harvard T.H. Chan School of Public Health and Executive Director for the Center for Healthcare Delivery Sciences at Brigham and Women’s Hospital, where he also a practicing hospitalist. He is also Director of Implementation Research and Education and Associate Director for Postgraduate Education in Clinical and Translational Science for Harvard Catalyst.

    Much of Dr. Choudhry’s research deals with design and evaluation of novel strategies to increase the use of evidence-based therapies for common conditions such as heart disease and diabetes. He is particularly interested in changing patient and provider behavior and his work draws inspiration from a broad range of fields including clinical medicine, economics, cognitive psychology, epidemiology and biostatistics. His largest ongoing projects seek to combine approaches from behavioral science and machine learning in order to develop scalable solutions for health quality improvement. He and his research team are funded by a variety of public and private sources including the National Institutes of Health, health insurers, pharmaceutical manufactures and private foundations.

    Dr. Choudhry attended McGill University, received his M.D. and completed his residency training in Internal Medicine at the University of Toronto and then served as Chief Medical Resident for the Toronto General and Toronto Western Hospitals. He earned his Ph.D. in Health Policy from Harvard University with a concentration in Statistics and the Evaluative Sciences. His research has been widely published in leading medical and policy journals and has won numerous awards for excellence in research, teaching and mentorship.

     

     

  • Demiris, George

    George Demiris, PhD, Mary Alice Bennett University Professor in the School of Nursing and Perelman School of Medicine, and Associate Dean for Research and Innovation in the School of Nursing at University of Pennsylvania; Co-PI at PennAITech

    About: Dr. Demiris 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. 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 Col laboratory for Community Co-Creation (Penn4C).

    Dr. Demiris serves as Co-Principal Investigator for PennAITech.

     

     

  • Ganesan, Deepak

    Deepak Ganesan, PhD, Professor of Computer Science, Manning College of Information and Computer Sciences at the University of Massachusetts Amherst; co-Director of MassAITC

    About: Deepak Ganesan is a Professor and Manning Fellow in the Department of Computer Science at UMass Amherst, and co-Director of the Massachusetts AI and Technology Center for Connected Care in Aging and Alzheimer’s Disease. He also served as the Director of the Center for Personalized Health Monitoring at UMass Amherst (CPHM) from 2019-2024, and led its efforts towards end-to-end design of new health sensors from prototyping and fabrication to mobile health (mHealth) applications. He also served as the Sensors-to-Information Thrust Lead for the Mobile Data to Knowledge (MD2K) center funded by NIH (MD2K).He received his Ph.D. in Computer Science from UCLA in 2004 and his bachelors in Computer Science from IIT, Madras in 1998. He received the NSF CAREER Award in 2006, the IBM Faculty Award in 2008, and the UC3M-Santander Chair of Excellence in 2019. He was selected as a UMass Junior Faculty Fellow in 2008, and a UMass Lilly Teaching Fellow in 2009. He has served as Program co-chair for ACM Mobicom 2024, MobiSys 2017, ACM SenSys 2010 and IEEE SECON 2013. His work has been recognized by ACM SIGMOBILE and ACM Research Highlights, a Test of Time Award at SenSys 2022, and Best Paper Award Nominations or Awards at various top conferences in computer science including ACM MobiSys, Mobicom, CHI, Ubicomp and IEEE SECON. He is an ACM Fellow.

     

     

  • Marlin, Benjamin

    Benjamin Marlin, PhD, Center Associate Director for the Massachusetts AI and Technology Center for Connected Care in Aging and Alzheimer’s Disease and Professor, Manning College of Information and Computer Sciences at University of Massachusetts Amherst

    About: Benjamin M. Marlin is a full professor in the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst where he leads the Laboratory for Robust and Efficient Machine Learn-ing. His research focuses on the development of probabilistic and deep learning models for time series and sequential data with a focus on robustness to uncertainty and data scarcity. His applied work is in the areas of clinical and mobile health data analytics and the Internet of Things. His work has been supported by the National Science Foundation, the National Institutes of Health, the Patient-Centered Outcomes Research Institute, the US Army Research Lab, and the Intelligence Advanced Research Projects Activity. Marlin is an NSF Career Award recipient and has led machine learning research for the NIH-funded MD2K Center and mDOT Center. He currently serves as Associate Director for the NIH-funded Massachusetts AI and Technology Center for Connected Care in Aging and Alzheimer’s Disease (MassAITC). Marlin completed his PhD in machine learning at the University of Toronto and his postdoctoral research at the University of British Columbia.