Summary
Tanmoy Pias is a Postdoctoral Scholar at Stanford with a PhD in Computer Science and a decade of experience building trustworthy, domain‑aware AI systems. He specializes in multi-task multimodal transformers and foundation models, with hands‑on work fine‑tuning LLMs for domain-specific adaptability, fairness, and explainability. His research background spans ML testing, synthetic dataset generation, and knowledge‑guided model design across tabular, signal, image, time‑series, text, and multimodal data. He has bridged academia and industry through cross‑lab collaborations, invited talks, and translational research for sponsors, and has built real‑time activity‑recognition pipelines for wearables using Transformers and Bi‑LSTMs. Comfortable teaching core CS topics and mentoring students, he pairs rigorous academic training with practical deployment experience. An often‑overlooked strength is his focus on measurement and testing frameworks that make advanced models auditable and reliable in real-world systems.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 4.00, Doctor of Philosophy - PhD, Computer Science, 4.00 at Virginia Tech
Bachelor's degree, Computer Science and Engineering, Bachelor's degree, Computer Science and Engineering at Bangladesh University of Engineering and Technology
Postdoctoral Training, Postdoctoral Training at Stanford University