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GLOBAL
OBSERVATORY
OF LONG-TERM
CARE

Part of the International Long-Term Care Policy Network (ILPN)

 

Aneesh Mazumder

Harvard College

Aneesh Mazumder

Aneesh is a Senior at Harvard College, studying Neuroscience and Government. As a Yun Family Research Fellow for Revolutionary Thinking, he is currently conducting research on neurodegenerative diseases at Harvard Medical School and Massachusetts General Hospital, where he is working to understand the mechanisms underlying Alzheimer’s disease and develop innovative diagnostic and therapeutic strategies for the condition. Additionally, as a Roberts Family Fellow and as part of the MESH Incubator AI team at Mass General Brigham, he is exploring the implementation of artificial intelligence-based technologies, such as large language models, across various domains of the clinical workflow. Aneesh is also the co-founder of HealthPath Horizons, a nonprofit dedicated to expanding access to pre-health resources and mentorship for students from underserved communities. Outside of research and entrepreneurship, he serves as a policy advocate for the Alzheimer’s Association, promoting more equitable healthcare. In the future, he aspires to be a physician-innovator, bridging clinical care, research, and technology to improve patient outcomes.

FURTHER INFORMATION

Countries United States;
Topics Access to care; AI Ethics; Artificial Intelligence; Care inequalities; Care integration/ coordination; Care management; Care outcomes; Digital Technology; Ethics and care; Implementation; Neurodegenerative conditions; Science communication; Younger carers;
Methods Artificial Intelligence; Case studies; Causal inference in Long-Term Care; Comparative policy analysis; Data science and LTC research; Machine learning; Mixed methods; Natural Language Processing; Pilot study; Political decisions analysis; Practice-based approaches; Quantitative data analysis; Research ethics; Scoping reviews; Text Mining; Time series analysis;
Role Research;
Interest Groups Ageing and Place; Community-based approaches to dementia care; Data Science; Employment Education and Family carers; Innovation in Long-Term Care; Long-Term Care Policy; Quasi-experimental methods; Strengthening Responses to Dementia; Technology and Long-Term Care;
ORC.ID0009-0001-8668-396X
GOOGLE SCHOLARhttps://scholar.google.com/citations?user=Ys7nI3MAAAAJ&hl=en
LinkedInhttps://www.linkedin.com/in/aneesh-mazumder/
Research interests

My research interests focus on Alzheimer’s disease and dementia from the molecular level to the systems that shape care. I am interested in how computational biology, causal inference, and large language models can help identify disease mechanisms, uncover therapeutic targets, and support earlier diagnosis. I also care about how these tools can be used responsibly in real clinical settings, especially for longitudinal monitoring, care planning, and communication between patients, caregivers, and clinicians. At the same time, I see dementia as a policy challenge, because better science only matters if people can access diagnosis, treatment, and support. My goal is to connect research, technology, and health policy so that advances in Alzheimer’s and dementia care reach patients earlier, more equitably, and with clearer accountability.