Summary
Tk Gaurav is a PhD candidate and research engineer specializing in numerical and experimental investigations of multiphase flows and surfactant-driven droplet dynamics at the University of Toronto. With eight years of experience spanning CFD, HPC, and machine learning, he develops custom Python toolchains and leverages FDM, FVM, pseudospectral and boundary integral methods to solve complex PDEs for emulsion and bubble-column systems. His work blends hands-on microscopy experiments with advanced simulation and optimization techniques, and he has experience accelerating simulations using MPI and GPU approaches. He also teaches and mentors across statistics, computational methods and process modeling, guiding large cohorts through practical data-analysis projects. Notably, he has cut reconstruction times from days to seconds in particle-tracking applications using ML and GUI tools, reflecting a pragmatic focus on turning sophisticated models into usable research tools.
8 years of coding experience
3 years of employment as a software developer
Master’s Degree, Chemical Engineering, Master’s Degree, Chemical Engineering at Western University
Doctor of Philosophy - PhD, Chemical Engineering and Applied Chemistry, Doctor of Philosophy - PhD, Chemical Engineering and Applied Chemistry at University of Toronto
Army Public School, Ranchi
Bachelor of Engineering (B.E.), Chemical Engineering, Bachelor of Engineering (B.E.), Chemical Engineering at Birla Institute of Technology
English, Hindi, German