Wisang Sugiarta
Hello, I’m Wisang!
I’m currently a researcher in computational physics at the University of Colorado. I’m interested in solving hard physics problems (fluids and atmospheric physics). Most of my research relates to PhyPID, and I work on projects like RDycore, libCEED, honee and FEniCS .
I was previously a quant at Morgan Stanely working on computational libraries and data science applications in finance. I completed an M.Sc at the University of Montreal and MILA with Emma Frejinger. My thesis explored a combination of mathematical optimization and machine learning (Decision-Focused Learning) to solve a network optimization problem. I also graduated from McGill University with a B.Sc in Physics where my thesis was on high-energy radiation.
Research Interests
- Computational Physics: Study of phyics based PDEs and computational methods. Mainly fluids and atmospheric physics.
- Machine Learning: Chaotic learning, scientific ML and neural differential equations.
Publications
Under construction.