Summary
Ilya Trofimov is a research scientist and ML/AI practitioner with over a decade of experience bridging industrial deployments and academic research, currently working at the Applied AI Institute after leading AutoML, NAS, topological data analysis and reinforcement learning projects at Skoltech. He has a strong track record in productionizing predictive models—driving demand forecasting and dynamic pricing at Yandex Data Factory and Yandex.Market, including winning a major forecasting competition with a 12% improvement over competitors. Ilya holds a PhD in computer science and dual degrees in theoretical physics, a combination that informs his rigorous yet pragmatic approach to complex modeling problems. He excels at turning advanced research into measurable business impact (e.g., boosting conversion and revenue in recommender systems) and has deep experience with large-scale data and online experiment design. Notably, his career began in the power industry as a CTO/co-founder, giving him uncommon systems-integration and product-building instincts for a research-focused scientist.
13 years of coding experience
20 years of employment as a software developer
Master's degree, Internet Data Analysis, Master's degree, Internet Data Analysis at Школа анализа данных
Doctor of Philosophy - PhD, computer science, Doctor of Philosophy - PhD, computer science at Вычислительный центр РАН (ФИЦ ИУ РАН)
M.Sc & B.Sc, Theoretical Physics, M.Sc & B.Sc, Theoretical Physics at Московский Государственный Университет им. М.В. Ломоносова (МГУ) / Lomonosov Moscow State University (MSU)
Russian, English, French