Sameer Neupane
Multimodal AI for mental health and neurodevelopmental screening
Postdoctoral Fellow
University of California San Francisco
Your week at a glance
- Small group — you facilitate Group 4 · Aquila on Day 1 (Problem framing).
- Job talk — Day 6 (Sat, Jun 27), 2:20 PM · Room A · Alder 107 — “From Wearable Physiological AI to Actionable Insights”.
- Poster — Day 7 (Sun, Jun 28) · Session A (9:15–10:15 AM).
Sameer Neupane is a Postdoctoral Scholar in the Department of Medicine at the University of California, San Francisco (UCSF), conducting research at the UCSF TECH Lab under the mentorship of Dr. Peter Washington. His research focuses on mobile health, wearables, human-computer interaction, and artificial intelligence for mental health and neurodevelopmental conditions. He develops multimodal AI systems that integrate wearable biosignals, behavioral data, and contextual information to enable real-time detection and personalized interventions for stress, anxiety, and depression. His work also includes interpretable deep learning models using audio and video data for ADHD and autism assessment, wearable-based behavioral health modeling, Just-in-Time Adaptive Interventions (JITAIs), and AI-driven frameworks for nicotine vaping cessation using wearable and contextual sensing. Previously, he completed his Ph.D. in Computer Science at the University of Memphis under the mentorship of Dr. Santosh Kumar at the mDOT Center.
Awards & honors
Recognition
- IEEE BHI 2025 NSF-EMBS-Google Sponsored Young Professional NextGen Scholar, IEEE BHI (2025)
- Dissertation Completion Grant, University of Memphis (2025)
- GSA Top 20 Under 35 Award, University of Memphis (2024)
- Celebrate Student Success Award, University of Memphis (2024)
- First Prize, 36th Annual Student Research Forum, University of Memphis (2024)
- Research Investment in Science and Engineering (RISE) Doctoral Fellow, University of Memphis (2018)
- Mahatma Gandhi Scholarship for Bachelor Degree, Ministry of External Affairs (India) (2010)