The Team

Principal Investigator

Romit Maulik

Assistant Professor and ICDS Co-Hire,
Department of Information Science and Technology,
Institute of Computational and Data Sciences,
Pennsylvania State University.
Faculty Joint Appointment,
Mathematics and Computer Science Division,
Argonne National Laboratory.

Romit Maulik is an Assistant Professor in the College of Information Sciences and Technology at Pennsylvania State University. He is also a co-hire in the Institute for Computational and Data Sciences at Penn State. He obtained his PhD in Mechanical and Aerospace Engineering at Oklahoma State University in 2019 and has been the Margaret Butler Postdoctoral Fellow as well as an Assistant Computational Scientist at Argonne National Laboratory before starting his current position in August 2023. His research has been funded by the DOE, NSF and Argonne and Los Alamos National Laboratories and he is also a member of RAPIDS, a DOE SCIDAC Institute for Artificial Intelligence. His group researches high-performance scientific machine learning algorithm development with applications to various dynamical systems.

Current Members

  1. Dr. Shivam Barwey (PhD, University of Michigan): Reduced-order modeling of high dimensional fluid dynamical systems, graph-based learning, federated machine learning, high-performance computing, AETS Named Postdoctoral Fellow at Argonne National Laboratory.
  2. Dibyajyoti Chakraborty (MTech, IIT Bombay): Stable deep learning forecast models for high-dimensional dynamical systems, PhD Student at Penn State.
  3. Haiwen Guan (BS, Penn State): Dynamical systems forecasting using operator learning, PhD Student at Penn State & Argonne National Laboratory.
  4. Matt Poska (MS, Penn State): Variational data assimilation for dynamical systems surrogates, PhD Student at Penn State & Argonne National Laboratory (co-advised with Dr. Sharon Huang).
  5. Hojin Kim (MS, Seoul National University): Field-inversion with graph neural network based methods, PhD Student at Penn State.
  6. Zachariah Malik (BS, UT Dallas): Deep learning for stochastic dynamical systems, PhD student at UC Boulder (Visiting researcher at Penn State).
  7. Jonah Botvinick Greenhouse (BA, Amherst College): Deep learning for stochastic dynamical systems, PhD Student at Cornell University (Visiting researcher at Penn State).
  8. Vinamr Jain (BTech IIT-Delhi), Quantum reduced-order models for dynamical systems, Undergraduate Intern at Penn State.
  9. Aaryan Bavishi (BS, Penn State): Robust reduced-order models with autoencoders, Undergraduate Intern at Penn State.

Former Members

  1. Dr. Deepinder Jot Singh Aulakh: In-situ data-driven surrogate and turbulence modeling with PythonFOAM, ALCF Research Aide, Argonne National Laboratory, 2023.
  2. Abhinab Bhattacharjee: Accelerating data and model fusion using deep learning, MCS Given's Associateship, Argonne National Laboratory, 2023.
  3. Ashish Nair: Neural ordinary differential equations for advection domainted problems, ALCF Research Aide with Shivam Barwey, Argonne National Laboratory, 2023.
  4. Trent Gerew: Inverse classification for budget-constrained data-assimilation, U.S. Department of Energy, Science Undergraduate Laboratory Intern (SULI), Argonne National Laboratory, 2023
  5. Gurpreet Singh Hora: Adaptive training of deep learning surrogates in OpenFOAM (with Laurent White at AMD Research), 2022.
  6. Cyril Le Doux: Deep learning emulators for geophysical modeling, 2022 DOE Summer Undergraduate Intern (SULI), Argonne National Laboratory.
  7. Sen Lin Anomaly detection in dynamical systems using Bayesian online changepoint detection, Givens Associateship, 2022, Argonne National Laboratory.
  8. Sahil Bhola Multifidelity reinforcement learning for computational fluid dynamics, Research Aide, 2021, Argonne National Laboratory.
  9. Alec Linot Deep learning surrogate models on inertial manifolds, Givens Associateship, 2021, Argonne National Laboratory.
  10. William McClure Estimating the Generator of SDEs Using Temporal Normalizing Flows, Masters Thesis, 2021, IIT-Chicago.
  11. 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.
  12. Suraj Pawar: Scalable reinforcement learning for computational fluid dynamics, ALCF Summer Internship Project, 2020, Argonne National Laboratory.
  13. Dominic Skinner:Deep learning reduced-order models for computational physics applications, National Science Foundation, Mathematical Sciences Graduate Internship, Summer 2020, Argonne National Laboratory.
Plain Academic