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.
Email: rmaulik@psu.edu

Dr. Maulik is an Assistant Professor of Information Science and Technology at the Pennsylvania State University. In addition, he has a Joint Appointment with the Mathematics and Computer Science Division at Argonne National Laboratory. Previously, he was the Margaret Butler Postdoctoral Fellow and then an Assistant Computational Scientist at Argonne National Laboratory. He holds a PhD in Mechanical and Aerospace Engineering from Oklahoma State University. His primary research interests are in interdisciplinary computational science, with a particular emphasis on algorithm development for scientific machine learning and high-performance computing for various applications. Dr. Maulik's group has been supported by various research grants from the U.S. DOE and the NSF and eagerly welcomes possibilities for collaboration.

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, AETS Named Postdoctoral Fellow.
  2. Dibyajyoti Chakraborty (Penn State): Stable deep learning forecast models for high-dimensional dynamical systems, PhD Student.
  3. Haiwen Guan (Penn State): Dynamical systems forecasting using operator learning, PhD Student.
  4. Matt Poska (Penn State & Argonne National Laboratory): Variational data assimilation for dynamical systems surrogates, PhD Student co-advised with Dr. Sharon Huang.
  5. Vinamr Jain (IIT-Delhi), Quantum reduced-order models for dynamical systems, Undergraduate Intern.
  6. Aaryan Bavishi (Penn State): Robust reduced-order models with autoencoders, Undergraduate RA.

Former Members

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