We are actively looking for new PhD students, Postdocs to join the team (see openings) !
Joined the group in Summer 2022
Ph.D., Chemical Engineering, Texas A&M University, 2022
Research topic: multiscale algorithms
email: cao425@purdue.edu
Joined the group in Spring 2023
Ph.D., Electrical and Computer Engineering, The Ohio State University, 2022
Research topic: power systems optimization
email: geconsta@purdue.edu
Joined the group in Fall 2021
B.Tech., Chemical Engineering, Indian Institute of Technology Madras, 2021
Research topic: electrification, stochastic programming
email: aramanuj@purdue.edu
Joined the group in Fall 2022
Co-advised with Xiaoping Bao
B.S., Chemical Engineering, National Taiwan University, 2021
Research topic: machine learning for stem cell
email: lu992@purdue.edu
Joined the group in Fall 2022
MPhil, Biotechnology, University of Cambridge, 2021
B.Eng., Chemical Engineering, University of Nottingham, 2020
Research topic: explainable machine learning
email: chen4433@purdue.edu
Joined the group in Fall 2023
B.Tech. + M.Tech., Chemical Engineering, Indian Institute of Technology Delhi, 2023
Research topic: distributed optimization for data sharing
email: ahluwala@purdue.edu
Joined the group in Fall 2023
M.S, Chemical Engineering, Carnegie Mellon University, 2022
M.Tech., Chemical Engineering, Indian Institute of Technology Guwahati, 2021
B.Tech., Chemical Engineering, Osmania University, 2020
Research topic: explaining optimization and machine learning models using LLM
email: skompall@purdue.edu
Joined the group in Fall 2023
B.Tech., Electrical Engineering, Indian Institute of Technology Bombay, 2022
Research topic: explaining optimization models using LLM
email: mantrik@purdue.edu
Joined the group in Fall 2023
B.Tech., Computer Science, Indian Institute of Technology Palakkad, 2022
Research topic: explaining machine learning models using LLM
email: khan440@purdue.edu