About

Krishna Garikipati obtained his PhD at Stanford University in 1996. After completing his post-doctoral work, he joined the University of Michigan in 2000, where he rose to the position of Professor in the Departments of Mechanical Engineering and Mathematics. Between 2016 and 2022, he served as the Director of the Michigan Institute for Computational Discovery & Engineering (MICDE). In January 2024, he moved to the University of Southern California as a Professor of Aerospace and Mechanical Engineering. His research focuses on scientific machine learning and computational science, with applications in biophysics, mathematical biology, materials physics, and nonlinear mechanics. He has made contributions to system identification, physics discovery, machine learning solvers for partial differential equations, and machine learning for scale bridging. His recent work involves foundation AI models for physics and optimal transport theory-based learning of population dynamics. His scientific research has applications in areas such as population dynamics, patterning and morphogenesis in developmental biology, cellular biophysics, soft matter, and mechano-chemical phase transformations in materials.

Research topics

• Computer Science
• Artificial Intelligence
• Data Mining
• Materials science
• Composite material
• Mathematics
• Thermodynamics
• Biological system
• Structural engineering
• Biology
• Engineering
• Mechanics
• Statistical physics
• Nanotechnology
• Physics

Selected publications

• Inference of deformation mechanisms and constitutive response of soft material surrogates of biological tissue by full-field characterization and data-driven variational system identification

  Journal of the Mechanics and Physics of Solids · 2021 · 54 citations

  Senior authorCorresponding
  • Computer Science
  • Artificial Intelligence
  • Data Mining
  DOI

• Machine learning materials physics: Multi-resolution neural networks learn the free energy and nonlinear elastic response of evolving microstructures

  Computer Methods in Applied Mechanics and Engineering · 2020 · 73 citations

  Senior authorCorresponding
  • Computer Science
  • Artificial Intelligence
  • Statistical physics
  DOI

Recent grants

• Collaborative Research: CDI-Type I: Meta-Codes for Computational Kinetics

  NSF · $315k · 2010–2014

Frequent coauthors

• Shiva Rudraraju

  51 shared

• Gregory H. Teichert

  Michigan United

  50 shared

• Ellen M. Arruda

  University of Michigan–Ann Arbor

  43 shared

• Z. Wang

  26 shared

• Silvia Escudero

  26 shared

• Devin T. Rosenthal

  26 shared

• Sofía D. Merajver

  University of Michigan–Ann Arbor

  26 shared

• Alejandra C. Ventura

  26 shared

Labs

• Computational Physics GroupPI

Education

• Ph.D., Mechanical Engineering

  University of California, San Diego

  2009

• M.S., Mechanical Engineering

  University of California, San Diego

  2005

• B.S., Mechanical Engineering

  University of California, San Diego

  2003

Awards & honors

• DOE Early Career Award for Scientists and Engineers (2004)
• Presidential Early Career Award for Scientists and Engineers…
• Humboldt Research Fellowship
• 2022 James Knowles Lecturer, California Institute of Technol…
• Fellow of the US Association for Computational Mechanics (si…

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