I recently completed my Postdoctoral training at the CoMMaND Lab in the University of Notre Dame, where I developed computational models to understand how complex materials such as biological tissues grow, adapt, and respond to mechanical forces. I earned my Ph.D. in Structural Engineering from UC San Diego in 2023, with a focus on multi-scale modeling of soft tissues and the mechanics of force transmission in skeletal muscle.

My work sits at the intersection of biomechanics, finite element modeling, and physics-informed machine learning. I build models that connect length scales, analyzing the upstream effect of lower length scale phenomena, to answer fundamental questions in tissue development and mechanics. I am also interested in inverse modeling — using physics-guided ML to infer properties from sparse measurements.

I enjoy combining theory, simulation, and data to uncover mechanisms in biology and translate them into predictive models.  If you're interested in computational mechano-biology, tissue growth & remodeling, or interdisciplinary collaborations across engineering and life sciences, I'd love to connect.

Google Scholar: https://shorturl.at/m4dKD

You can also reach out to me at ktaneja@ucsd.edu (ktaneja[at]ucsd[dot]edu) or drop me a message on twitter.