Hi there!

I’m a Computer Science Ph.D. candidate at Marquette University, advised by Dr. Sheikh Iqbal Ahamed and Dr. Samuel Nemanich, and Research Director at Ubicomply.ai start-up, where I lead the development of agentic AI systems. My dissertation focuses on developing digital health technologies that leverage sensing and AI to measure movement and health outside the lab including markerless video-based 3D motion capture. I built motorlearning.games, a HIPAA-compliant mobile health platform used by 200+ participants in two NIH studies. My work develops digital health technologies connecting cameras and wearable sensors with edge AI inference, so that measurement is both accessible and clinically useful. My work has been supported by the National Institutes of Health (NIH) and other funding agencies. I have also contributed to secure $2.5 million in research funding including NIH awards (R42, R21), NMDSI seed awards, and other grants.

Open to postdoctoral, research scientist, and applied AI roles in academia and industry.

Awards & Certifications

  • 2026 · Paving ROADS Seed Fund, Northwestern Mutual Data Science Institute — BrainTrain (dissertation research)
  • 2026 · Dean's Research Enhancement Award, Marquette University Graduate School
  • 2026, 2022 · NSF Travel Grant, IEEE/ACM CHASE
  • 2023 · Computer Science Summer Research Fellowship, Marquette University
  • 2022 · Elsevier Smart Health Best Paper Award — national clinical data warehouse
  • 2022 · Best Paper Nomination, IEEE/ACM CHASE — HIPAA safeguards assessment of Android mHealth apps
  • 2018 · Best Innovative Project Award (Mrs. Sultana Begum Award), BUET
  • CITI Program — Human Subjects Research (1, 2, 3); HIPAA Information Privacy & Security

Recent

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