Graduate Students

Loek Van Heyningen is a PhD student in the Department of Aeronautics and Astronautics and the Center for Computational Science and Engineering, advised by Prof. Jaime Peraire and Dr. Cuong Nguyen. His research focuses on the development of high-order methods for modern HPC architectures. For CESMIX, he is supporting hypersonic flow simulation and modeling efforts.

Dionysios Sema obtained his diploma in chemical engineering from the National Technical University of Athens. He is a PhD student in the Department of Mechanical Engineering affiliated with the Center for Computational Science and Engineering at MIT. As part of CESMIX, he performs research at the interface between classical and ab initio simulations and machine-learned reactive potential development. His current research interests include molecular dynamics, machine learning, material science and quantum computing.

William (Billy) Moses is a PhD candidate at MIT, where he also received his MEng in electrical engineering and computer science (EECS) and BS in EECS and physics. William researches compilers and program representations that enable performance and use-case portability, enabling non-experts to leverage HPC and ML. He is the lead developer of Enzyme (NeurIPS ’20, SC ’21), an LLVM plugin for generating fast derivatives of programs in multiple languages/architectures, and Polygeist (PACT ’21), a polyhedral compiler and C++ frontend for MLIR. He also worked on the Tensor Comprehensions framework for synthesizing fast GPU kernels, the Tapir compiler for parallel programs (best paper at PPoPP ’17). He is a recipient of the U.S. Department of Energy Computational Science Graduate Fellowship and the Karl Taylor Compton Prize, MIT’s highest student award.

Julien Luzzatto is a SM student in the Center for Computational Science and Engineering at MIT, where he is co-advised by Prof. Youssef Marzouk and Prof. Nicolas Hadjiconstantinou. As part of CESMIX, he performs research at the interface between molecular modeling, multiscale simulation, and long-time integration.

Kate Fisher is a student in the Uncertainty Quantification group. Her current research focuses on representing the uncertainty that arises from functional approximation choice in density functional theory. She graduated from the University of Texas at Austin with bachelor’s degrees in computational

Teo Collin is a PhD student affiliated with the COMMIT group at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT where he is advised by Prof. Saman Amarasinghe. His broader research interests are at the intersection of compilers, programming languages, scientific computing, computer algebra, and numerical analysis. As part of CESMIX, Collin is working on building domain specific languages that allow scientists to write efficient simulations without too much effort. Currently he is particularly interested in languages for high-level linear algebra across many domains.

Valentin Churavy is a PhD student in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. As part of CESMIX, he is working on distributed heterogeneous computing with Julia.

Joanna Zou is a PhD student in Computational Science and Engineering at MIT. As a part of CESMIX, she is working on Bayesian inference techniques for interatomic potentials models. Prior to joining MIT, she worked on data assimilation with latent variable models as a visiting scholar at TU Delft and surrogate model development as a Masters student at Stanford University.