Computational scientist working on numerical methods for partial differential equations, particle- and agent-based simulation, and high-performance computing. 29 journal articles, 1000+ citations, h-index 16 (Google Scholar, October 2026). Downloadable résumé and full CV are in the sidebar.
Experience
Computational Scientist — Lawrence Livermore National Laboratory
- Lead developer of the super-droplet cloud microphysics capability in ERF, a performance-portable numerical weather prediction code: the initial scheme, cold-cloud (ice) processes, adaptive-mesh support, terrain-following particle advection, and GPU portability.
- Preconditioning and linear-solver infrastructure for implicit electromagnetic particle-in-cell simulation in WarpX.
- Multi-disease tracking, co-immunity and co-susceptibility, capacity-limited hospitalization, and agent-interaction kernels in ExaEpi, an exascale-capable agent-based epidemiological model.
- Co-developed PIAFS, a high-order nonlinear hydrodynamics code with photochemistry for gaseous optics, including its CUDA implementation.
- Supplied the physics solvers and training data for several reduced-order-modeling and machine-learning studies; early-stage work on learned denoisers for particle-in-cell data.
- High-order discretization and implicit-explicit time integration for magnetically confined plasmas, atmospheric flows, and gas optics.
- Multifluid models for interpenetrating plasmas in inertial confinement fusion.
Postdoctoral Research Staff Member — Lawrence Livermore National Laboratory
- Implicit-explicit time integration for continuum kinetic simulation of collisional magnetized plasmas.
- High-order finite-volume algorithms for tokamak edge plasma simulation.
- Multirate semi-implicit integrators for adaptive-mesh atmospheric flow solvers.
Postdoctoral Appointee — Argonne National Laboratory
Fellow — Computation Institute, The University of Chicago
- Implemented multi-stage implicit, explicit, and implicit-explicit Runge-Kutta schemes, and general linear methods with global error estimation, in PETSc.
- Applied high-order time integrators from PETSc to production physics codes, including numerical weather prediction.
- Scalable implementation of nonlinear compact finite-difference schemes on DOE leadership-class platforms.
- Well-balanced, conservative finite-difference methods for limited-area atmospheric flows.
- Probability density function methods for power systems with uncertain input.
Graduate Research Assistant — University of Maryland
- Derived, analysed, and implemented the CRWENO family of high-resolution non-oscillatory compact reconstruction schemes.
- Developed a three-dimensional Cartesian incompressible Navier-Stokes solver with immersed boundaries for high-Reynolds-number flows.
- Applied these methods to direct numerical simulation of compressible turbulence, vortex-ring and wall interaction, and rotorcraft wake modeling.
Research Assistant — Indian Institute of Technology Bombay
- High-order non-oscillatory schemes for ideal magnetohydrodynamics, and an analysis of non-convexity effects on scheme convergence.
- Finite-volume time-domain solution of Maxwell's equations to predict the radar cross-section of low-observable aircraft configurations.
Education
Doctor of Philosophy — University of Maryland, College Park
Thesis: Compact-Reconstruction Weighted Essentially Non-Oscillatory Schemes for Hyperbolic Conservation Laws. Adviser: James D. Baeder.
Bachelor of Technology and Master of Technology (dual degree) — Indian Institute of Technology Bombay
Master's thesis: Higher Order Non-Oscillatory Schemes in Ideal Magnetohydrodynamics. Adviser: Avijit Chatterjee.
Technical skills
| Area | Tools |
|---|---|
| Languages | C, C++, Python, CUDA, MATLAB |
| Machine learning | PyTorch, distributed data-parallel training, convolutional and attention architectures, diffusion models, physics-informed objectives (working proficiency, applied in current exploratory work) |
| Parallel computing | MPI, OpenMP, CUDA, AMReX, GPU-accelerated solvers |
| Scientific libraries | PETSc, SUNDIALS, Chombo, hypre, FFTW |
| Workflow | Git, CMake, GNU Autotools, Spack, pytest, Jupyter |
| AI-assisted development | Claude Code, OpenAI Codex, Cursor |
| Visualization | VisIt, yt, Matplotlib, Tecplot |
Training programs
- Generative AI, industrial short course, Institute for Pure and Applied Mathematics, UC Los Angeles — March 2026.
- End-to-End AI for Science Bootcamp, NERSC — December 2025.
- Reinforcement Learning course — 2024.
- Computational Machine Learning for Scientists and Engineers, ECE Continuum, University of Michigan — June 2021.
- Argonne Training Program on Extreme-Scale Computing (ATPESC) — August 2014.
Funded projects
- Co-I Addressing key physics problems in high-energy-density plasmas with a novel kinetic simulation capability — LLNL Laboratory Directed Research and Development (LDRD), ~$650K/yr, 2023–2026.
- Co-I High-resolution methods for phase-space problems in complex geometries — DOE Office of Science, ASCR, ~$900K/yr, 2017–2020 and 2021–2024.
- Co-I Simulation of high-energy-density plasmas using a novel, fully implicit particle-in-cell / Monte-Carlo algorithm — LLNL LDRD, ~$150K/yr, 2021–2022.
- Co-I Nonlinear spatial discretization on sparse grids — LLNL LDRD, ~$150K/yr, 2019–2020.
- PI Interpenetrating plasma simulations — LLNL LDRD, ~$650K/yr, 2017–2020.
Professional service
- Member, AIAA Atmospheric and Space Environments Technical Committee, 2016 – present.
- Reviewer for SIAM Journal on Scientific Computing, Journal of Computational Physics, Journal of Scientific Computing, ACM Transactions on Mathematical Software, Computer Physics Communications, Communications in Computational Physics, Physics of Fluids, Journal of Parallel and Distributed Computing, Journal of Advances in Modeling Earth Systems, International Journal for Numerical Methods in Fluids, International Journal of High Performance Computing Applications, and others.
- Session chair, 7th AIAA Atmospheric and Space Environments Conference (Numerical Weather Prediction); SIAM Annual Meeting 2014 (Numerical Methods in PDE VII).
- Visiting researcher, Department of Applied Mathematics, Naval Postgraduate School (host: Frank Giraldo), September 2015; Computer, Electrical and Mathematical Sciences & Engineering, King Abdullah University of Science and Technology (host: David Ketcheson), June 2015.
- Organizer, LANS Informal Seminar Series, Mathematics and Computer Science Division, Argonne National Laboratory, 2013 – 2015.
Honors and awards
- Travel award, International Conference on Spectral and High Order Methods, 2014.
- Graduate Research Assistantship, Alfred Gessow Rotorcraft Center, University of Maryland, 2008 – 2013.
- Block Grant Fellowship, Department of Mathematics, University of Maryland, 2006 – 2008.
- Research Assistantship, Department of Aerospace Engineering, IIT Bombay, 2005 – 2006.
Teaching
Teaching Assistant, Department of Aerospace Engineering, IIT Bombay, July 2005 – May 2006. Numerical Methods for Conservation Laws (graduate): lectured on finite-volume methods for ideal magnetohydrodynamics and graded coding assignments. Compressible Gasdynamics (undergraduate): graded assignments and examinations.