Peter Sharpe
Physics + ML Research @ NVIDIA | PhD @ MIT in Aircraft Design Optimization
- Role
- Senior Scientific Machine Learning Software Engineer - Physics at NVIDIA
- Location
- Boston, MA, US
- LinkedIn followers
- 500 followers
About Peter Sharpe
Researcher/engineer at NVIDIA developing new techniques for modeling physical systems…
Experience
Senior Scientific Machine Learning Software Engineer - Physics
Nov 2024 — Present
Fundamental applied math research into modeling physical systems governed by partial differential equations (PDEs), such as aerodynamics, weather forecasting, heat transfer, structures, etc, using combinations of classical and machine learning (ML) methods.My current research develops new ML model architectures that respect symmetries of physics (e.g, translation, rotation, and parity-equivariance; invariants like energy/momentum; discretization- and units-invariance) and PDE information flow (e.g, global information propagation for elliptic PDEs). I think incorporating these physics-based pieces into ML model architectures is (a) critical to achieve industrially- and scientifically-relevant levels of generalization capability, and (b) chronically under-emphasized in most existing approaches to ML for PDEs.On the engineering side: developing NVIDIA PhysicsNeMo (https://github.com/NVIDIA/physicsnemo/) and other related SciML research efforts.
Education
Massachusetts Institute of Technology
Master of Science - MS
Massachusetts Institute of Technology
Doctor of Philosophy - PhD
Washington University in St. Louis
Bachelor of Science (B.S.)
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