INSTRUCTOR
John Tsitsiklis
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John Tsitsiklis is a Professor with the Department of Electrical Engineering & Computer Science, and a member of the National Academy of Engineering. He obtained his PhD from MIT and joined the faculty in 1984. His research focuses on the analysis and control of stochastic systems, including applications in various domains, from computer networks to finance. He has been teaching probability for over 15 years. |
TEACHING ASSISTANTS
Qing He
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Qing He is a graduate student in the MIT Department of Electrical Engineering & Computer Science. Her research interests include inference, signal processing, and wireless communications—all of which rely on the fundamental concepts taught in 6.041. Qing has taken several probability classes at MIT, and was a teaching assistant for this class for two semesters. |
Jimmy Li
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Jimmy Li is a graduate student in MIT’s Department of Electrical Engineering & Computer Science. His research focuses on applying the tools taught in this and related courses to problems in marketing. He took this class as an undergraduate and has also been a teaching assistant for the class three times. |
Jagdish Ramakrishnan
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Jagdish Ramakrishnan recently received his PhD at MIT’s Department of Electrical Engineering & Computer Science. His dissertation focused on optimizing the delivery of radiation therapy cancer treatments dynamically over time. His general research interests include systems modeling, optimization, and resource allocation. He was a teaching assistant for this class twice while at MIT. |
Katie Szeto
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Katie Szeto is a member of the Business Operations team at Dropbox. She received her Bachelor and Master of Engineering degrees from MIT. Her Master’s thesis explored applications of probabilistic rank aggregation algorithms. Katie took this class with Professor Tsitsiklis when she was a sophomore at MIT. Later, as a graduate student, she was a teaching assistant for the class. |
Kuang Xu
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Kuang Xu is a graduate student in the Department of Electrical Engineering & Computer Science at MIT. His research focuses on the design and performance analysis of large-scale networks, such as data centers and the Internet, which involve a significant amount of uncertainties and randomness. Kuang took his first probability class in his junior year, and served as a teaching assistant for this class in 2012. |
