The Team

Principal Investigator

Romit Maulik

Current Members

1. Dr. Shivam Barwey (Argonne National Laboratory): Reduced-order modeling of high dimensional fluid dynamical systems, graph-based learning, federated machine learning, high-performance computing, Postdoctoral Fellow.
2. Matt Poska (Penn State & Argonne National Laboratory): Explainable machine learning for dynamical systems, Informatics PhD Student co-advised with Dr. Sharon Huang.
3. Neelappagouda Hiregoudar (Penn State): Accelerating PDE-constrained inverse problems with machine learning, PhD Student.
4. Dibyajyoti Chakraborty (Penn State): Stable deep learning forecast models for high-dimensional dynamical systems, PhD Student.
5. Deepinder Jot Singh Aulakh (Argonne National Laboratory): Data-parallel deep learning in PythonFOAM, ALCF Research Aide, Summer 2023.
6. Zachariah Malik (Argonne National Laboratory): Deep learning for stochastic dynamical systems, NSF MSGI Summer 2023.
7. Abhinab Bhattacharjee (Argonne National Laboratory): Accelerating data and model fusion using deep learning, MCS Given's Associateship, Summer 2023.

Former Members

1. Trent Gerew (Argonne National Laboratory): Inverse classification for budget-constrained data-assimilation, 2023 U.S. Department of Energy, Science Undergraduate Laboratory Intern (SULI).
2. Jonah Botvinick Greenhouse (Argonne National Laboratory & Cornell University): Deep learning for stochastic dynamical systems, 2022 National Science Foundation, Mathematical Sciences Graduate Intern and Argonne Visiting Graduate Student.
3. Gurpreet Singh Hora (Columbia University): Adaptive training of deep learning surrogates in OpenFOAM (with Laurent White at AMD Research).
4. Cyril Le Doux (Argonne National Laboratory & University of Chicago): Deep learning emulators for geophysical modeling, 2022 DOE Summer Undergraduate Intern (SULI).
5. Sen Lin (Argonne National Laboratory & University of Houston): Anomaly detection in dynamical systems using Bayesian online changepoint detection, Givens Associateship, 2022.
6. Sahil Bhola (Argonne National Laboratory & University of Michigan, Ann-Arbor): Multifidelity reinforcement learning for computational fluid dynamics, Research Aide, 2021.
7. Alec Linot (Argonne National Laboratory & University of Wisconsin, Madison): Deep learning surrogate models on inertial manifolds, Givens Associateship, 2021.
8. William McClure (IIT-Chicago): Estimating the Generator of SDEs Using Temporal Normalizing Flows, Masters Thesis, 2021.
9. Janah Richardson (Walter Payton College Prep High School): Causal Relationship Between Environmental Factors and Social Mobility, Afro-Academic, Cultural, Technological and Scientific Olympics (ACT-SO) High School Research Program, 2020-2021. Gold medal winner in Computer Science category - Illinois.
10. Suraj Pawar (Argonne National Laboratory & Oklahoma State University): Scalable reinforcement learning for computational fluid dynamics, ALCF Summer Internship Project, 2020.
11. Dominic Skinner (Argonne National Laboratory & MIT): Deep learning reduced-order models for computational physics applications, National Science Foundation, Mathematical Sciences Graduate Internship, Summer 2020.