**Romit Maulik**

Assistant Computational Scientist,

Mathematics and Computer Science Division,

Argonne National Laboratory.

&

Assistant Professor,

Department of Information Science and Technology,

Pennsylvania State University.

Email: **rmaulik@anl.gov**

- 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.
- Matt Poska (Penn State & Argonne National Laboratory): Explainable machine learning for dynamical systems, Informatics PhD Student co-advised with Dr. Sharon Huang.
- Neelappagouda Hiregoudar (Penn State): Accelerating PDE-constrained inverse problems with machine learning, PhD Student.
- Dibyajyoti Chakraborty (Penn State): Stable deep learning forecast models for high-dimensional dynamical systems, PhD Student.
- Deepinder Jot Singh Aulakh (Argonne National Laboratory): Data-parallel deep learning in PythonFOAM, ALCF Research Aide, Summer 2023.
- Zachariah Malik (Argonne National Laboratory): Deep learning for stochastic dynamical systems, NSF MSGI Summer 2023.
- Abhinab Bhattacharjee (Argonne National Laboratory): Accelerating data and model fusion using deep learning, MCS Given's Associateship, Summer 2023.

- Trent Gerew (Argonne National Laboratory): Inverse classification for budget-constrained data-assimilation, 2023 U.S. Department of Energy, Science Undergraduate Laboratory Intern (SULI).
- 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.
- Gurpreet Singh Hora (Columbia University): Adaptive training of deep learning surrogates in OpenFOAM (with Laurent White at AMD Research).
- Cyril Le Doux (Argonne National Laboratory & University of Chicago): Deep learning emulators for geophysical modeling, 2022 DOE Summer Undergraduate Intern (SULI).
- Sen Lin (Argonne National Laboratory & University of Houston): Anomaly detection in dynamical systems using Bayesian online changepoint detection, Givens Associateship, 2022.
- Sahil Bhola (Argonne National Laboratory & University of Michigan, Ann-Arbor): Multifidelity reinforcement learning for computational fluid dynamics, Research Aide, 2021.
- Alec Linot (Argonne National Laboratory & University of Wisconsin, Madison): Deep learning surrogate models on inertial manifolds, Givens Associateship, 2021.
- William McClure (IIT-Chicago): Estimating the Generator of SDEs Using Temporal Normalizing Flows, Masters Thesis, 2021.
- 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.** - Suraj Pawar (Argonne National Laboratory & Oklahoma State University): Scalable reinforcement learning for computational fluid dynamics, ALCF Summer Internship Project, 2020.
- Dominic Skinner (Argonne National Laboratory & MIT): Deep learning reduced-order models for computational physics applications, National Science Foundation, Mathematical Sciences Graduate Internship, Summer 2020.