The Team

Assistant Professor and Perry Scholar,
School of Mechanical Engineering,
Purdue University, West Lafayette.
Email: rmaulik(at)purdue.edu

Romit Maulik is an Assistant Professor in the School of Mechanical Engineering at Purdue University. He obtained his PhD in Mechanical and Aerospace Engineering at Oklahoma State University (in 2019) and was the Margaret Butler Postdoctoral Fellow (from 2019-2021) before becoming an Assistant Computational Scientist at Argonne National Laboratory (from 2021-2023). From 2023-2025, he was an Assistant Professor in Informatics and Intelligent Systems at Pennsylvania State University. His group studies high-performance multifidelity scientific machine learning algorithm development with applications to various multiphysical nonlinear dynamical systems such as those that arise in mechanical and aerospace engineering, Earth systems modeling, nuclear fusion, and beyond. He is an Early Career Awardee of the Army Research Office and a Perry Scholar of Academic Excellence at Purdue University.

Current Members

Our team is composed of several postdoctoral fellows, graduate, and undergraduate students. We welcome applications for visiting researchers from around the world.

1. Dr. Sourajit Das (PhD, University of Pennsylvania): Differentiable physics and causal discovery, Postdoctoral Scholar at Pennsylvania State University.
2. Dr. Melissa Adrian (PhD, University of Chicago): Data assimilation for geophysical flows with diffusion models, Postdoctoral Scholar at Purdue University.
3. Dr. Yang Xu (PhD, University of Colorado at Boulder): Multimodal data and model fusion with agentic AI, Postdoctoral Scholar at Purdue University.
4. Dibyajyoti Chakraborty (MTech, Indian Institute of Technology, Bombay): Deep learning and deep generative modeling for forecasting and data assimilation of high-dimensional and chaotic dynamical systems, PhD Student at Pennsylvania State University.
5. Haiwen Guan (BS, Pennsylvania State University): Neural emulators and super-resolution algorithms for geophysical systems using operator learning, PhD Student at Pennsylvania State University.
6. Hojin Kim (MS, Seoul National University): Differentiable physics-based modeling of dynamical systems, PhD Student at Purdue University.
7. Ashwin Suriyanarayanan (BTech, Indian Institute of Technology, Kanpur): Multiresolution modal analyses for fluid dynamics data, PhD Student at Purdue University.
8. Kanad Sen (MTech, Indian Institute of Technology, Bombay): Generative machine learning surrogates for high-speed multiphysics flows, PhD Student at Purdue University.

Former/Visiting Members

1. Dr. James Henry (PhD, Illinois Institute of Technology, Chicago): Data-driven surrogate modeling for accelerated fluidic oscillator design, Postdoctoral Scholar at Pennsylvania State University. Next position - Senior Propulsion Design Engineer at Astro Mechanica.
2. Dr. Xuyang Li (PhD, Michigan State University): Reinforcement learning for data-driven control of dynamical systems, Postdoctoral Scholar at Pennsylvania State University. Next position - Assistant Professor at UNC Charlotte.
3. Dr. Shivam Barwey (PhD, University of Michigan, Ann Arbor): Graph-based learning of multiscale systems, federated machine learning, high-performance computing, AETS Named Postdoctoral Fellow at Argonne National Laboratory. Next position - Assistant Professor at University of Notre Dame.
4. Dr. Matt Poska: Explainable forecasting algorithms for complex dynamical systems, PhD Student at Pennsylvania State University & Argonne National Laboratory (co-advised with Dr. Sharon Huang). Next position - Staff at Pinterest.
5. Zachariah Malik (BS, UT Dallas): Deep learning for stochastic dynamical systems, Visiting researcher at Argonne National Laboratory and Pennsylvania State University. Next position - PhD student at UC Boulder (
6. Jonah Botvinick Greenhouse (BA, Amherst College): Deep learning for stochastic dynamical systems, Visiting researcher at Argonne National Laboratory. Next position - PhD Student at Cornell University.
7. Vinamr Jain (BTech IIT-Delhi), Quantum reduced-order models for dynamical systems, Undergraduate Intern at Pennsylvania State University, Next position - PhD student at Cornell University.
8. Aaryan Bavishi (BS, Pennsylvania State University): Robust reduced-order models with autoencoders, Undergraduate Intern at Pennsylvania State University. Next position - Analyst at FNB Corp.
9. Dr. Deepinder Jot Singh Aulakh: In-situ data-driven surrogate and turbulence modeling with PythonFOAM, ALCF Research Aide, Argonne National Laboratory, 2023. Next position - Software Developer at Symmetry.
10. Abhinab Bhattacharjee: Accelerating data and model fusion using deep learning, MCS Givens Associateship, Argonne National Laboratory, 2023. Next position - PhD student at Virginia Tech.
11. Ashish Nair: Neural ordinary differential equations for advection domainted problems, ALCF Research Aide with Shivam Barwey, Argonne National Laboratory, 2023. Next position - PhD student at University of Notre Dame.
12. Trent Gerew: Inverse classification for budget-constrained data-assimilation, U.S. Department of Energy, Science Undergraduate Laboratory Intern (SULI), Argonne National Laboratory, 2023. Next position - PhD student at University of Kansas.
13. Gurpreet Singh Hora: Adaptive training of deep learning surrogates in OpenFOAM (with Laurent White at AMD Research), 2022. Next position - PhD student at Columbia University.
14. Cyril Le Doux: Deep learning emulators for geophysical modeling, 2022 DOE Summer Undergraduate Intern (SULI), Argonne National Laboratory. Next position - UG Student at UChicago.
15. Sen Lin Anomaly detection in dynamical systems using Bayesian online changepoint detection, Givens Associateship, 2022, Argonne National Laboratory. Next position - PhD student at University of Houston.
16. Sahil Bhola: Multifidelity reinforcement learning for computational fluid dynamics, Research Aide, 2021, Argonne National Laboratory. Next position - PhD student at University of Michigan.
17. Alec Linot: Deep learning surrogate models on inertial manifolds, Givens Associateship, 2021, Argonne National Laboratory. Next position - PhD student at University of Wisconsin.
18. 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.
19. Suraj Pawar: Scalable reinforcement learning for computational fluid dynamics, ALCF Summer Internship Project, 2020, Argonne National Laboratory. Next position - PhD student at Oklahoma State University.
20. Dominic Skinner: Deep learning reduced-order models for computational physics applications, National Science Foundation, Mathematical Sciences Graduate Internship, Summer 2020, Argonne National Laboratory. Next position - PhD student at MIT.

ISCL Honors and Awards

1. Romit Maulik - Perry Scholar of Academic Excellence at Purdue University (2026), ARO Early Career Program Award (2024), Argonne Impact Award (2022, 2023), Margaret Butler Postdoctoral Fellowship (2019), Oklahoma State University Outstanding Graduate Student Award (College of Engineering Architecture and Technology).
2. Shivam Barwey - AETS Postdoctoral Fellowship (2023).
3. Xuyang Li - Best Short Talk award, Pennsylvania State University Postdoctoral Symposium (2024).
4. Dibyajyoti - APS DFD Travel Award (2023), WCCM Best Paper Award Finalist (2024), UQ-MLIP Travel Award (2024), UQ-MLIP Best Poster Award (2024), CASML Best Paper (2024), CASML Best Poster (2024), SIAM Student Travel Award (2025).
5. Haiwen - UQ-MLIP Travel Award (2023), NSF Workshop on Data-driven Modeling and Prediction of Rare and Extreme Events Travel Award (2024).
6. Hojin - Ruth Young Boucke Graduate Fellowship (2024), Robert W. Graham Endowed Graduate Fellowship (2024), SIAM Student Travel Award (2025), ATPESC 2025 Attendee.
7. Zachariah - NSF MSGI Fellowship (2023).
8. Jonah - NSF MSGI Fellowship (2022).
9. Dominic - NSF MSGI Fellowship (2020).
10. Janah - ACT-SO Gold medal winner in Computer Science category - Illinois.

The group over the years