Summary
Abhi Jaiantilal is a Chief Science Officer and Principal Data Scientist with 14 years of experience building FDA-regulated medical devices and ML-driven physiological models. He holds a PhD in Computer Science and has invented twelve patents spanning hydration, core temperature, blood volume, hemorrhage prediction, compensatory reserve, blood pressure estimation, signal mapping, and sepsis detection. He led end-to-end R&D and regulatory submissions for multiple Class II devices, architecting real-time PPG/ECG signal stacks and embedded software that moved algorithms from research to cleared products. Equally comfortable in firmware, embedded C/C++, MATLAB and Python, he specializes in PPG-based supervised ML and signal mapping via generative approaches to make models robust across sensor types. Based in Englewood, Colorado, he advises industry partners on integrating wearable and EHR data into actionable AI, and has repeatedly reduced training and verification runtimes from days to minutes through automation. His background blends deep academic rigor with practical productization and regulatory know-how, enabling rapid translation of physiological science into deployed clinical tools.
14 years of coding experience
14 years of employment as a software developer
Master of Science (M.S.) Computer Engineering, Master of Science (M.S.) Computer Engineering at New Jersey Institute of Technology
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of Colorado Boulder
English, Hindi, Gujarati