Kevin Shen

Hello!


I am a computational materials scientist who has worked with industry on a variety of solution formulation and polymer physics problems. I am especially interested in how computational tools can help us navigate scientific exploration more efficiently.

My training is in chemical engineering, and I draw on chemical physics, mathematical and statistical modeling, ML, and simulations for my work.

Caltech PhD, Chemical Engineering

Polymer science, Formulations
Statistical mechanics
Thermodynamics

Computational Expertise

Information theory, Data analysis, Machine learning, Molecular simulation and property prediction

Notable Partners

BASF, Dow, NSF BioPACIFIC

Getting to the essence

Multiscale Modeling

Materials involve trillions of trillions (at least)
of molecules.

I develop computational models that cut these large numbers down to size, bringing insight and understanding. My work has leveraged information theory and statistics to systematically improve the performance of models.

REIMAGINING THE MATERIAL WORLD

Sustainable
Materials

Our human-made world is built on polymers made from oil (hello, plastic, rubber, and friends).

Our future hinges on…

  • optimizing performance polymers (e.g. for batteries)
  • leveraging biopolymers (proteins, saccharides)
  • developing novel sustainable polymers (bye, bye, oil)

I have built state-of-the-art models that can predict material behavior, facilitating the exploration of new molecules and chemistries.

Learn More

Visit my bio or contact me on LinkedIn. Or, check out my work to the right, organized by themes.

Modeling

If you like math, computation, and knowing how things work.

Applications

If you just want to know why it matters.