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Unparalleled digital medicine research and expertise

The UMass Chan Program in Digital Medicine houses the combined subject matter, clinical, and research expertise in digital medicine of our core faculty across the UMass ecosystem with focus areas including but not limited to artificial intelligence, machine learning, wearables, digital therapeutics, software-as-a-medical-device (SaMD), natural language processing, EMR abstraction, and much, much more. 

Program in Digital Medicine Leadership

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Nancy Anoruo, MD, MPH

Director of Innovation

Focus: Digital therapeutics, Software as a Medical Device (SaMD), digital transformation of care delivery models, Biodesign, entrepreneurship

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Honghuang Lin, PhD

Director

Focus: Bioinformatics analysis of multi-omics data, Digital phenotyping, Machine learning modeling

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Neil Marya, MD

Director 

Focus: AI/ML models for image analysis, diagnostics, and digital pathology

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Apurv Soni, MD, PhD

Director 

Focus: Risk prediction and stratification models; digital site-less trials; implementation science, pragmatic trials, and health equity

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David McManus, MD, ScM

Executive Sponsor 

Focus: Mobile and digital health technologies, pragmatic trials, implementation science 

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Eric Alper, MD

Executive Sponsor

Focus: health technology ethics

Program in Digital Medicine Faculty

The UMass Chan Program in Digital Medicine houses the combined subject matter, clinical, and research expertise in digital medicine of our core faculty across the UMass ecosystem with the shared vision to develop technologies and digital health programs that benefit patients; evaluate them for in-patient / ambulatory / home-based care and deploy them within our health system; and assess impact via state-of-the-art implementation science. Our subject matter expertise spans artificial intelligence, machine learning, wearables, digital therapeutics, software-as-a-medical-device (SaMD), natural language processing, EMR abstraction, and much, much more. Our areas of excellence include:

Clinical Decision Support and Implementation Science
Development and integration of AI tools | Co-design of new digital medicine workflows | Patient and provider-centered design

Remote Monitoring and Mobile Health
Wearable technology and biosensors | Point-of-care diagnostics | Prescriptive surveillance

Pragmatic Digital Studies and Comparative Effectiveness
E-Cohorts and site-less studies | Democratizing trial participation through digital tools | Prioritization of “real world” health challenges and equity


Edwin D. Boudreaux, PhD

Digital medicine for behavioral health, especially suicide prevention, digital health software development and deployment, leveraging EHR tools to improve care, and predictive analytics using EHR data

Stephanie Carreiro, MD, PhD   

Digital biomarkers for substance use and mental health disorders, machine learning/AI applications of wearables, digital personalized medicine

Nisha Fahey, DO, MSc

Digital technologies to improve maternal child health and reduce health inequity

Jamie Faro, PhD     

Wearables for physical activity promotion in chronic disease populations; wearable device EHR integration; novel technology for care coordination

Ben Gerber, MD, MPH         

mHealth, medical informatics, telehealth, data science

Nathaniel Hafer, PhD           

Point of care technology development, commercialization, entrepreneurship

Julie E. LeMoine, PhD

Use of eXtended Reality (XR) [with focus on inclusive design] for health and well-being, including Augmented Reality (AR), Virtual Reality (VR), and 3D gaming

Kathleen Mazor, EdD, MS    

Novel applications of video-based communication, implementation science, patients' perceptions of health care innovation

Constantinos (Taki) Michaelidis, MD, MBA, MS     

Virtual acute care (Hospital at Home), mobile integrated health, remote patient monitoring

Laurel O'Connor, MD   

Digitally augmented mobile care delivery, predictive analytics, informatics

Mark O’Connor, MD

Wearables for diabetes management

Mayra Tisminetzky, MD, PhD, MPH

Novel technologies for chronic disease diagnosis and management