Timothy Torubarov
Timothy is a passionate mathematician and computer scientist interested in pushing the boundaries of computational problem-solving. In 2024, he co-authored research papers on machine learning-augmented astrodynamics and prediction of neo-antigens, published at Massachusetts Institute of Technology Undergraduate Research Technology Conference (MIT URTC).
Timothy is interested in AI, with a focus on predictive modeling. He has conducted research on machine learning applications in environmental science, using AI to predict cyanobacteria quantities in local rivers.
He loves teaching younger students mathematics and has worked as a math teacher at SchoolPlus and Math Kangaroo, helping prepare students for competitions and fostering a passion for problem-solving.
Outside of academics, Timothy is an avid board game enthusiast and a dedicated athlete in fencing.