It is now fashionable again to have a small bio on one’s website, so here’s some stuff about me.
My name is Kostis and I’m a senior research scientist in the AI group of Babylon Health. I mostly think about uncertainty quantification and its place in the age of machine-learned models. I particularly like tools from information theory, stochastic processes, and Bayesian statistics.
I graduated from UMass Amherst with a PhD in (Applied) Mathematics in 2017, advised by Professor Markos Katsoulakis and Professor Luc Rey-Bellet. My thesis was titled “information metrics for predictive modeling and machine learning” and can be found at UMass Scholarworks.
Before UMass, I graduated from the University of Crete with a BSc. in Applied Mathematics.