Shumit Saha

Dr. Shumit Saha serves as an Assistant Professor in the Department of Biomedical Data Science at Meharry Medical College's School of Applied Computational Sciences (SACS), joining in December 2023. Previously, he held positions as Assistant Scientist at University Health Network, Canada, and cross-appointed Assistant Professor at the University of Toronto's Dalla Lana School of Public Health.

His educational background includes:

• Ph.D. in Biomedical Engineering from University of Toronto, Canada
• M.Sc. in Biomedical Engineering from University of Manitoba, Canada
• B.Sc. in Electronics and Communication Engineering from Khulna University of Engineering and Technology, Bangladesh

Dr. Saha's research pioneers AI-embedded digital health technologies for chronic disease management, focusing on heart failure, sleep apnea, diabetes, and asthma. His work integrates advanced signal processing with wearable sensor data (speech, snoring, ECG, EEG) and big data analytics of electronic health records to develop patient-centered interventions. He emphasizes accessibility for underserved populations through mobile applications and cost-effective solutions.

Recent publications reveal a strong trajectory in AI-driven diagnostics for sleep disorders and cardiovascular conditions, with emphasis on wearable acoustic sensors and ethical machine learning frameworks. His work bridges clinical medicine with computational innovation, particularly in respiratory event classification and heart failure monitoring.

Scientific recognition includes:

• ATS Abstract Scholarship (2025)

Dr. Saha has secured over $200,000 in research funding, including an NIH AIM-AHEAD grant (~$148k) for ethical sleep apnea diagnosis frameworks. He mentors over 10 students/professionals in data science and serves on the editorial board of Nature Scientific Reports. Academic service includes chairing SACS's Curriculum Committee and serving on Faculty Senate, Recruitment, and Admissions committees.

He directs the Resonance Lab, which develops AI-powered mobile/wearable technologies for chronic disease management while rigorously evaluating their real-world effectiveness. The lab prioritizes accessible solutions for heart failure, sleep apnea, asthma, and COPD through patient education and technology optimization.