I build computational models for highly non-equilibrium plasmas—state-to-state resolved vibrational and electron kinetics, fluid models, etc. Reach out if you're into data assimilation or just want to chat about Science, the AI supercycle, and plasmas.
- Current: Postdoctoral Fellow @ UT Austin. Working on state-to-state resolved kinetics, surface kinetics, model reduction to make things actually tractable, UQ, and a bunch of other things.
- Ph.D.: Texas A&M University. Investigated laser-induced non-equilibrium plasmas. Spent a lot of time in close collaboration with the optical diagnostics team. Shout out to ALLEMO.
- Undergrad: Pulchowk Campus. Started out with research in combustion.
I’m interested in the marriage of mechanistic modeling and multi-fidelity data.
- Fast Solvers: If the solver isn't fast enough for real-time application, we've still got work to do.
- Data Assimilation: Using experimental data to actually improve predictive capabilities and bound uncertainties, rather than just treating physics like a black box.
- The Stack: Spending my time with Differentiable Programming (JAX), Benchmarking (CPU vs. GPU) for scientific computing, and Uncertainty Quantification (UQ) to build reliable predictive tools.
- Scientific Computing & SciML — Chris Rackauckas
- Probabilistic ML Lecture Series — Philipp Hennig
- Probabilistic Numerics — Hennig, Osborne, & Girolami
- Music: A little bit of guitar playing. If you have unused gear taking up space, I’ll take it off your hands lol.
- Wellness: Still thinking about it mostly, but I definitely need to get back into running.
- Travel: Weekend excursions around Austin for now. Cali is calling, maybe Virginia soon.
- Cinema: Movies. Currently considering watching Breaking Bad for the nth time.