Arvind Pillai

Arvind Pillai is a Ph.D. Student in Computer Science at Dartmouth College, advised by Prof. Andrew T. Campbell. His research focuses on developing generalizable health prediction algorithms for everyday sensing data collected in real-world settings. Currently, he is focused on Health Foundation Models. To this end, his work includes PaPaGei, the first open-source foundation model for Photoplethysmography (PPG), and Time2Lang, a framework for integrating time-series models with LLMs. Additionally, he developed LENS for mental health narrative synthesis and SLIP, a method for language-informed pretraining of transferable sensor models. Arvind’s industry experience includes roles as a Student Researcher at Google and a Research Intern at Nokia Bell Labs. Prior to his Ph.D., he spent two years as an AI & Data Graduate Scientist at AstraZeneca.