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 Gourgoulias and, since March 2022, I’m a research scientist / ML lead at JPMorgan. Before that, I was a senior research scientist in the AI group of Babylon Health.
At JPMorgan, I conduct ML research and development. I currently lead a few directions on using pre-trained language models for a few different tasks, e.g., recommendation, anomaly detection, few-shot learning, etc.
At Babylon, I worked on applications of machine learning and artificial intelligence to diagnostics and automated decision-making. My work at Babylon also resulted in a few publications and some patents; you can find a few of them on the research post on this site or Google Scholar (scholar is more up-to-date).
I graduated from UMass Amherst with a PhD in (Applied) Mathematics in 2017, where I was lucky to be advised by Professors Markos Katsoulakis and Luc Rey-Bellet. My thesis was titled “information metrics for predictive modeling and machine learning” and can be found at UMass Scholarworks. I was also fortunate to be awarded the Deparmental Thesis award for my research.
Before UMass, I graduated from the University of Crete with a BSc. in Applied Mathematics.
During my PhD, I co-founded and chaired the GRiD (Graduate Researchers in Data) group at UMass. The deparment of mathematics at UMass Amherst celebrated this initiative with a “Graduate Student Leadership” award.