alt text 

Samuel Pfrommer

Ph.D. student (EECS)

B.S.: University of Pennsylvania, Computer Science & Mathematics (Double Major)

Research interests: Machine Learning, Optimization, Graph Representation Learning

CV

alt text 

Yatong Bai

Ph.D. student (ME)

B.S.: Georgia Institute of Technology, Mechanical Engineering & Computer Engineering

Research interests: Optimization, Machine Learning, Control Theory

alt text 

Eli Brock

Ph.D. student (EECS, co-advised with Prof. Javad Lavaei)

B.S.: University of Pittsburgh, Electrical Engineering

Research interests: Optimization, control theory, power systems

alt text 

Hyunin Lee

PhD student (ME)

B.S.: Seoul National University, Mechanical engineering

Research interests: Optimization, Machine Learning, Networks

alt text 

Jingqi (James) Li

PhD student (EECS, co-advised with Prof. Claire Tomlin)

M.S.: University of Pennsylvania, Electrical Engineering

B.S.: Beihang University, Aerospace Engineering

Research interests: Optimization, Machine Learning, Control Theory

Alumni

alt text 

Salar Fattahi (PhD 2020; Thesis): Assistant Professor, University of Michigan

alt text 

Cedric Josz (Postdoc 2017-2019), Assistant Professor, Columbia University

alt text 

Nan Tian (PhD 2020): Lead Research Scientist, Bosch Research

alt text 

Christian Grussler (Postdoc 2020-2021), Assistant Professor, Technion - Israel Institute of Technology

alt text 

Mohammad Mahdi Khalili (Postdoc 2019-2020), Assistant Professor, Ohio State University, part-time research scientist at Yahoo! Research.

alt text 

Fernando Gama (Postdoc 2020-2021), VP of Machine Learning Research, Morgan Stanley

alt text 

Elizabeth Glista (PhD 2023): Power Systems Engineer, Lawrence Livermore National Laboratory

alt text 

Ziye (Gaven) Ma (PhD 2024): (Presidential) Assistant Professor, City University of Hong Kong

alt text 

Brendon G. Anderson (PhD 2024): Assistant Professor, California Polytechnic State University, San Luis Obispo

alt text 

Tanmay Gautam (PhD 2024): Research Scientist, Microsoft Research