My name is Jose Pablo Folch. I am the chief scientific officer and co-founder of SOLVE. Our goal is to empower the chemical industry to become as efficient and sustainable as possible through efficient data-gathering and state-of-the-art machine learning and AI techniques. In particular, I focus on Bayesian optimization, Bayesian modelling, design of experiments, and uncertainty reduction techniques.

I am also in the process of finishing my PhD from Imperial College London, under the supervision of Ruth Misener and Mark van der Wilk. During my PhD I worked on Bayesian optimization problems, inspired by applications to flow chemistry, funded by, and working in collaboration with BASF.

I was born and raised in Mexico City, before doing my GCSEs and A-levels in Stonyhurst College, Lancashire, UK. I also graduated from Colegio Vista Hermosa in Mexico. After school, I moved to London to study Mathematics in Imperial College, where I graduated in 2020 with first class honours. I joined the StatML CDT to pursue a PhD on the same year.

My main research interests include machine learning, Bayesian optimization, Gaussian processes, and decision making under uncertainty.