I am an Assistant Computational Scientist at the Mathematics and Computer Science division (MCS) at Argonne National Laboratory. I am also jointly appointed as Research Assistant Professor in the Department of Applied Mathematics at the Illinois Institute of Technology, Chicago. Previously, I was the 2019 Margaret Butler Postdoctoral Fellow at Argonne National Laboratory and obtained my Ph.D. in Mechanical & Aerospace Engineering from Oklahoma State University.
My interests are scientific machine learning, stochastic processes, high performance computing with applications to engineering, geoscience, plasma physics. I am also associated with the DeepHyper project at Argonne for scalable asynchronous neural architecture and hyperparameter search for deep neural networks.
If you're interested in a high-level overview of some my research, check out this, this, and this, recording of recent studies. If you are a student interested in an internship at Argonne along the lines of my research interests - please email me.
In the news
- Our novel deep learning architecture for time-varying unstructured data is highlighted by TechXplore.
- Sahil Bhola is in the news! His work on exploring multifidelity deep reinforcement learning for aerodynamic optimization is highlighted by Argonne.
- Our collaborative proposal to study the mathematics of surrogate modeling for nonlinear dynamical systems is accepted for funding by DOE.
- Our collaborative proposal to study mathematical, computational, and hardware considerations for surrogate modeling of PDEs is accepted for funding by NSF.
- Janah Richardson, an intern from Walter Payton College Prep High School, wins a gold medal for her ACT-SO project! She investigated structural inequalities using statistical modeling in Chicago. (see news story here).
- Our research into using neural ordinary differential equations for reduced-order modeling is a Physica D. highly cited article! (scroll down the page to find our entry).
- Our Physics of Fluids paper for surrogate modeling of advection-dominated flows using deep convolutional autoencoders is chosen as Editors' pick!
- Our studies of simulation and data science interoperability have been selected for an Exascale Computing Project Proxy application.
- NSF MSGI intern Dominic Skinner's excellent work is featured by DOE!
- Our research on geophysical surrogate modeling using recurrent neural architecture search is covered by HPCWire, Newswise, and Insidehpc.
- Our Physics of Fluids paper for stable non-intrusive reduced-order model using bidirection LSTMs is chosen as Editors' pick!
- Check out a feature story on my Margaret Butler Fellowship project.
Research verticals - click images to learn more
Data science for scientific computing