Principal Investigator
Postdoctoral Fellows
Mehran Mirramezani
I am an NSF Computing Innovation Postdoctoral Scholar under the direction of Professor Ryan P. Adams in Computer Science at Princeton University. My postdoctoral research focuses on introducing novel computational modeling paradigms integrating computational mechanics, machine learning architectures, and advanced optimization techniques to develop innovative data-driven and learning-based modeling approaches for modern engineering problem-solving. Prior to Princeton, I completed my Ph.D. in Mechanical Engineering at University of California Berkeley.
Jenny (Ni) Zhan
Personal WebsiteI am a postdoctoral researcher in the lab, currently working on machine learning and simulation for atomic scale materials. I completed my BS from UT Austin, and PhD in chemical engineering and MS in machine learning (ML) at Carnegie Mellon University, where I worked on physical phenomena of liquid alloys using molecular dynamics simulation, neural network potentials, and uncertainty quantification methods for ML.
Graduate Students
Joshua Aduol
Alex Guerra
Olga Solodova
Kathryn Wantlin
Personal WebsiteMy research interests center around the design of algorithms for machine learning and multi-agent systems that are flexible, robust, and generalizable, with applications in engineering, natural sciences, and the arts. Recently, I’ve been thinking about decentralized morphogenesis and the joint evolution of control and morphology in nature and reproducing these properties in engineered systems. Previously, I received my M.S.E. from Princeton University and my A.B. from Harvard University, both in computer science.
Cindy Zhang
Personal WebsiteI am broadly interested in machine learning methods that are theoretically motivated and have applications in materials science. Currently, my work focuses on symmetry groups and Fourier representations in machine learning. Prior to starting my PhD, I completed my bachelor’s degree at MIT, where I worked on ML fairness research with Professor Devavrat Shah.
Undergraduate Students
Alexandra Maxwell
Aditya Palaparthi
Personal WebsiteHi, I’m Aditya! I’m an undergraduate student studying computer science at Princeton. Here at LIPS, I work on finding better solutions for common mechanical design problems using deep generative modeling. My research interests are generative modeling, ML-accelerated design/simulation, and deep reinforcement learning, but I am always exploring new research in the AI space. Outside of the lab, I love teaching CS and enjoy designing/building full-stack applications.
Yash Sharma
I am undergraduate student at Princeton University in the Math department with interests in Probability Theory and Machine Learning. At LIPS, I am working on solving PDE constrained optimization problems using stochastic methods.
Alumni and Friends
- Jordan Ash
- Elaine Angelino
- Samuel Barnett
- Alex Beatson
- Diana Cai
- SueYeon Chung
- Eyal Dechter
- Finale Doshi-Velez
- Bianca Dumitrascu
- David Duvenaud
- Michael Gelbart
- Jonathan Huggins
- Jose Miguel Hernandez Lobato
- Matthew Johnson
- Scott Linderman
- Sulin Liu
- Dougal Maclaurin
- Andrew Miller
- Shamim Nemati
- Yaniv Ovadia
- Deniz Oktay
- Jad Rahme
- Yakir Reshef
- Oren Rippel
- Ardavan Saeedi
- Ari Seff
- Jasper Snoek
- Xingyuan Sun
- Daniel Suo
- Jose Garrido Torres
- Alex Wiltschko
- Tianju Xue
- Wenda Zhou