I am a Research Associate at the Oden Institute for Computational Engineering and Sciences at the University of Texas at Austin. I received a Ph.D. from Carnegie Mellon University in August 2016. I then worked as a Postdoctoral Scholar at the Department of Mathematics, Louisiana State University.
Current work includes developing models of tumor growth and recovery of model parameters from the imaging data. Of particular interest is angiogenesis, where new blood vessels are formed (and destroyed) in response to various signals from the nutrient-starved tumor cells. We recently got a small grant to develop a PDE-based model for Hyperpolarized (HP) MRI signal recovery. The work on HP MRI is done in collaboration with researchers at the MD Anderson Cancer Center. In addition, I have recently become interested in granular media and associated challenges in model development. Towards this, we have developed a high-fidelity model PeriDEM that can handle individual deformation and breakage of arbitrarily shaped particles and the contacts between deforming bodies.
I will be teaching two courses during Fall 2021 at UT Austin. The two subjects are Engineering Computation in Aerospace Engineering and Engineering Mechanics and Introduction to Numerical Methods in Biomedical Engineering in Biomedical Engineering. I am serving the Journal of Peridynamics and Nonlocal Modeling as one of the associate editors. I am also part of the editorial team of Journal of Open Source Software (JOSS) contributing in the role of topic editor.
PhD in Civil and Environmental Engineering, 2016
Carnegie Mellon University, Pittsburgh, USA
ME in Mechanical Engineering, 2012
Indian Institute of Science, Bangalore, India
BE in Mechanical Engineering, 2010
Govt. Engineering College, Raipur, India
CMAME, JMPS, M3AS, JALCOM
Title: A mechanistic tumor growth model for HP MRI
With David Fuentes at MD Anderson Cancer Center, Houston, USA. Awarded under the MDACC-Oden-TACC joint initiative.
Develop efficient and parallel computational methods for class of nonlocal models such as Peridynamics and nonlocal diffusion equations
Development and analysis of models of tumor growth, angiogenesis, drug therapy, and metastasis
Development of models for improved signal recovery and image reconstruction, and developement and application of new methods for optimal data acquisition with uncertain model parameters