
Machine Learning is rapidly transforming the way financial institutions detect and prevent crime — but what does it look like behind the model?
We are pleased to invite you to an insightful webinar with Hristo Iliev, Chief Data Scientist at NOTO, who will take us inside practical applications of ML in financial crime prevention and share lessons learned from his unique career path.
Date: October 21
Format: Online, via Microsoft Teams
Hristo is not only a data science enthusiast but also a High-Performance Computing specialist, holding a PhD in atomic and molecular physics from the University of Sofia. His expertise spans predictive modelling, large-scale data analytics, and parallel applications, which gives him a unique perspective at the crossroads of science, technology, and the fight against financial crime.
This session is a rare opportunity to learn from Hristo’s extensive journey — from optimising high-performance systems at RWTH Aachen University, to building ML-powered solutions at startups, and now leading advanced projects at NOTO.