Nicolas Tricard

Research Interests: Scientific Machine Learning, Physical AI, Inverse Problems, Uncertainty Quantification, Computational Imaging, Differentiable Physics, High-Performance Computing, Combustion and Reacting Flows

Research Advisor(s)/Lab: Sili Deng, Deng Energy and Nanotechnology Group (DENG)

Education: M.S. Mechanical Engineering, University of Connecticut `23; B.S. Mechanical Engineering, University of Connecticut `21