Mikhail Baranchuk

Background

About Mikhail Baranchuk

Hey there! I'm a machine learning researcher and data scientist specializing in modeling complex, dynamic systems involving multiple agents, graph neural networks, NLP, and security. This theme is core to my ongoing grant-funded research into AI safety (AI-Collusion & perfectly secure steganography) and generative AI. I am especially interested in applying the theme of multi-agent systems & large graph networks in quantitative trading and economics. My experience spans many domains including developing cutting-edge biometric security solutions, optimizing fraud detection algorithms, and building SOTA computer vision models for technology firms ranging from pre-seed start-ups to established firms like Nuance Communications/Microsoft. I have also worked extensively with financial data through developing software and optimizing financial/risk models at Morgan Stanley and the National Bank of Canada, and having excelled in algorithmic trading competitions like Optiver's Trading at Close and IMC Trading's Prosperity Trading Competition. Thanks for peeking at my profile. I would love to connect and have a chat :)