Shrenik Zinage is a PhD student at the Predictive Science Laboratory working on scientific machine learning and causality.

He has hands on experience applying a variety of techniques from his research to real world systems such as internal combustion engines, hypersonic vehicles, refrigeration systems, geodetic satellite missions and heave compensation. He is particularly interested in how mathematics and machine learning can work together to solve real world engineering problems. Prior to joining PSL, he completed his B.Tech at Indian Institute of Technology Madras.