Katie Szeto

Katie Szeto has built a strong foundation in probability and algorithmic research at MIT, where she earned both her Bachelor's and Master of Engineering degrees. Her academic journey includes significant work on probabilistic rank aggregation algorithms, which formed the core of her Master's thesis. Her expertise in probability theory developed through both learning and teaching experiences at MIT, having taken 6.041x/6.431x under Professor Tsitsiklis as an undergraduate before later serving as a teaching assistant for the same course during her graduate studies. Her research contributions focus on developing and implementing probabilistic algorithms for ranking systems, demonstrating the practical applications of theoretical probability concepts in computer science and data analysis.