Summary
Gurpreet Hora is a Machine Learning Engineer and PhD candidate in Civil Engineering at Columbia University with a decade of experience applying scientific ML and generative AI to environmental fluid dynamics and atmospheric science. He combines rigorous mathematical and surrogate modeling skills with hands-on programming in Python, Fortran, and MATLAB to tackle time series, image/video, and physics-informed problems. His internship work at AMD and Ansys and research on tumor-response simulation and seismic isolation show a rare mix of high-performance computing, uncertainty quantification, and applied domain expertise. A graduate of IIT Kanpur and UIUC, he is also interested in Bayesian machine learning and convex optimization, bringing both theoretical depth and practical engineering to interdisciplinary challenges.
10 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology Bombay
Doctor of Philosophy - PhD Civil Engineering and Engineering Mechanics, Doctor of Philosophy - PhD Civil Engineering and Engineering Mechanics at Columbia University
Master's degree Civil and Environmental Engineering, Master's degree Civil and Environmental Engineering at University of Illinois Urbana-Champaign
English, Hindi, Punjabi