Radoslav Neychev is a data scientist with focus on Deep Learning and Reinforcement Learning techniques. He has worked on variety of research (CERN LHCb, MIPT Machine Intelligence Lab, CC RAS) and industrial projects (Yandex, RaiffeisenBank) in different domains vary from particle identification problem to fraudulent transactions detection.

Radoslav graduated from Moscow Institute of Physics and Technology, majoring in Applied Mathematics and Machine Learning. Radoslav is reading lectures and organising practical classes at Russian top-tier universities, tech companies and summer schools.

Anastasia Ianina got her PhD from Moscow Institute of Physics and Technology where she focused on Natural Language Processing and Exploratory Search problems. She received thorough knowledge of math and machine learning, and gained significant amounts of hands-on experience: interning at Lyft and working on self-driving cars, working as a researcher at the MIPT machine intelligence lab, holding research scientist positions at Yandex, Samsung and Meta, leading teams responsible for LLM training at Tinkoff bank and WB Tech, and also writing papers to top-level international conferences.

Anastasia’s research interests include Machine Learning, Natural Language Processing, Text Analytics and Large Language Models. She currently teaches MIPT students machine learning and takes part in creating online educational courses and textbooks: she authored the course “Dynamic Neural Network Programming with PyTorch” for Packt Publishing, worked on Coursera NLP specialisation and co-authored ML textbook for Yandex School of Data Analysis.