Summary
Shalin Mehta is a senior AI/ML leader and computational imaging expert based in San Francisco, directing interdisciplinary teams at Biohub to fuse optics, inverse algorithms, and deep learning for high-throughput, high-resolution dynamic biological imaging. With over 15 years of experience spanning signal processing, superresolution microscopy, and modern deep learning, he builds platforms that accelerate systems cell biology, virology, immunology, and developmental biology. He has been recognized by HFSP and the Allen Distinguished Investigator Program for work on organelle communication and leads efforts that translate core research into collaborative tools and open-source projects like microlith. An experienced educator, he teaches deep learning for microscopy at the Marine Biological Laboratory and shares course materials and code publicly on GitHub. His background ranges from embedded signal-processing systems for radar to PhD-level bioimaging research, giving him a rare blend of hardware, algorithmic, and biological fluency. Colleagues value him for turning complex physical models into practical computational pipelines that reveal previously hidden cellular dynamics.
10 years of coding experience
9 years of employment as a software developer
MTech Information and Communication Technology, MTech Information and Communication Technology at DA-IIT (Dhirubhai Ambani Institute of ICT)
BEng Electronics and Communication Engineering, BEng Electronics and Communication Engineering at L. D. College of Engineering
PhD Bioengineering Bioimaging, PhD Bioengineering Bioimaging at National University of Singapore
English, Hindi, Gujarati