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.
Modeling
If you like math, computation, and knowing how things work.
Applications
If you just want to know why it matters.
Other data projects
For fun.