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I am passionate about solving real world problems at scale by applying mathematics, physics, &
software engineering. I create algorithms and software that leverage data and mathematical
models to simulate and design physical systems. Since 2019, I have been developing high
performance differentiable scientific software for de-novo design and optimization in life
sciences & materials sciences.
Open source software
JAX-DIPS on GitHub
differentiable 3D interfacial PDE solver on GPUs/TPUs/CPUs
training compact neural networks for solution to PDEs with jump conditions
Learn MorePress release
Covering our large scale bioelectric tissue simulation engine:
- UC Santa Barbara:
- The UCSB Current and College of Engineering : "A Large Computational Step Toward Faster Healing and Better Drug Delivery"
- National Supercomputing Facilities:
- Specialized HPC Magazines:
- Popular Science Magazines:
- EurekAlert! and Phys.org and Science Daily