Summary
Subigya Nepal is an Assistant Professor and computational researcher with 11 years of experience at the intersection of AI, digital health, and human-computer interaction, applying mobile and wearable sensing to understand and improve mental health in real-world settings. He has led end-to-end research from app development and AWS backends to longitudinal data collection, feature engineering, and deep learning modeling, producing publications in top venues like CHI and IMWUT. His work is highly interdisciplinary—he regularly collaborates with psychologists, clinicians, and neuroscientists—and has informed large NSF/NIMH-funded projects. He also brings industry research experience from Microsoft and Stanford HAI where he explored LLMs, workplace wellbeing, and personality dynamics. As a former co-founder and CTO of a prominent Nepali tech media startup, he combines academic rigor with product-minded engineering and experience building production-facing systems.
11 years of coding experience
9 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at Dartmouth College
Bachelor of Science (BSc), Computer Science, Bachelor of Science (BSc), Computer Science at Deerwalk Institute of Technology
English, Nepali