Jose Garrido Torres

About

My name is Jose Garrido Torres and I am a Senior Researcher at Microsoft Research AI for Science developing computational methods for the exploration of chemical space using Artificial Intelligence. I am particularly interested in developing algorithms to reduce the computational cost of the traditional chemistry methods without compromising accuracy.

Before joining Microsoft, I was a Data Scientist at Princeton University at the Centre for Statistics and Machine Learning through the Schmidt DataX Fund and the Princeton Catalysis Initiative at the lab of the A. Barton Hepburn Professor Abigail Doyle. At Princeton I developed an open-source Experimental Design via Bayesian Optimization platform for multi-objective reaction optimization. Before that, I was a Postdoctoral Researcher at Stanford University and Columbia University, where I developed surrogate machine learning algorithms to accelerate and automate the search of new materials for energy storage and catalysis applications.