Krishna Garikipati

Until Dec 2023: Professor, Department of Mechanical Engineering, and Department of Mathematics, University of michigan

jan 2024-onward: professor, department of Aerospace and mechanical engineering, university of southern california

krishna at umich dot edu, garikipa at usc dot edu


My research is in computational science and scientific artificial intelligence, including machine learning and data-driven modelling. I have applied these approaches to physics discovery by model inference, scale bridging, partial differential equation soolvers, representation of complexity and constructing reduced-order models of high-dimensional systems. My research is motivated by and applied to phenomena in bioengineering, biophysics, mathematical biology and materials physics. Of specific interest to me are patterning and morphogenesis in developmental biology, cellular biophysics, soft matter and mechano-chemical phase transformations in materials. More fundamentally, the. foundations of my research lie in applied mathematics, numerical methods and scientific computing.

Honors and awards

Courses: open access and on-campus

On May 2 2017, we launched our second Massively Open Online Class: Introduction to Continuum Physics on the edX platform. Try out its novel "collaboration in the Cloud" feature for continuum physics assignment problems!

On December 5 2016, we relaunched a Massively Open Online Class on Finite Element Methods on the Coursera platform. Take a look! 

Here are links to two series of recorded lectures that are openly available, and are being updated on a regular basis:

Classes that I either commonly teach or have taught at University of Michigan

Editorships and leadership in the academic community