Jason Altschuler

Current Courses (Spring 2025)

• STAT4300 - Probability

  Discrete and continuous sample spaces and probability; random variables, distributions, independence; expectation and generating functions; Markov chains and recurrence theory.

  STAT4300002 ( Syllabus )

  STAT4300003 ( Syllabus )

All Courses

• AMCS5999 - Independent Study

  Independent Study allows students to pursue academic interests not available in regularly offered courses. Students must consult with their academic advisor to formulate a project directly related to the student’s research interests. All independent study courses are subject to the approval of the AMCS Graduate Group Chair.

• AMCS9999 - Ind Study & Research

  Study under the direction of a faculty member.

• STAT4300 - Probability

  Discrete and continuous sample spaces and probability; random variables, distributions, independence; expectation and generating functions; Markov chains and recurrence theory.

• STAT9910 - Sem in Adv Appl of Stat

  This seminar will be taken by doctoral candidates after the completion of most of their coursework. Topics vary from year to year and are chosen from advance probability, statistical inference, robust methods, and decision theory with principal emphasis on applications.

• STAT9912 - Sem in Adv Appl of Stat (OPT)

  This seminar will be taken by doctoral candidates after the completion of most of their coursework. Topics vary from year to year and are chosen from advance probability, statistical inference, robust methods, and decision theory with principal emphasis on applications.

• STAT9950 - Dissertation

  Dissertation

• Sloan Research Fellowship in Mathematics, 2025
• George M. Sprowls Award for Best MIT PhD Thesis in Artificial Intelligence & Decision Making, 2022-2023
• Two Sigma PhD Fellowship, 2020-2022
• NSF Graduate Fellowship, 2016-2021
• James Hayes-Edgar Palmer Prize in Engineering, Princeton University, 2016
• Accenture Prize in Computer Science, Princeton University, 2015