Boris Radnaev is a highly accomplished Research Scientist and Machine Learning Engineer with a deep understanding of statistical models, deep learning, and reinforcement learning. He obtained a PhD in Computational Finance from the London Business School and has a background in Physics. Boris has a broad range of technical skills including proficiency in Python, C++, Tensorflow, PyTorch, Spark, Hadoop, MapReduce, AWS, Airflow, SQL, parallel and distributed computing, and git.

Boris's experience includes working as a Senior Research Scientist at Twitch and as a Data Scientist II at Uber. He has also worked in the financial industry as a Financial Economist at Cornerstone Research, an Investment Banking Analyst at Sberbank CIB, and as a Research Fellow and Consultant for the Endowment Fund at London Business School. He has contributed to the European Corporate Finance Summit at McKinsey & Company and studied Computational Economics at the University of Chicago.

Boris's background demonstrates his expertise in machine learning, finance, and physics. He is a skilled researcher and engineer with a strong interest in finding innovative solutions to complex problems. His technical proficiency and research experience make him a valuable asset to any organization looking to solve difficult challenges with machine learning and statistics.