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At University of Texas at Dallas
Instructor
Stat 4352: Mathematical Statistics (i.e. statistical inference)
Type: Undergraduate course
Spring 2025 (39 students)
Spring 2026 (57 students)
textbook: Statistical Inference by Casella and Berger, 2nd edition
Lecture notes (it is evolving while I am teaching it this semester) 👉
Stat_4352_lecture_notes.pdfInstructor
Stat 6341: Numerical Linear Algebra and Statistical Computing (i.e. matrix decomposition, optimization, and machine learning)
Type: Graduate course
Fall 2024, Fall 2025
At University of Michigan, Ann Arbor
Instructor
Math 115: Differential Calculus - Winter 2015, Fall 2017, Winter 2018
Math 116: Integral Calculus - Fall 2016
Teaching Assistant
Stats 509: Statistical Methods in Financial Models - Winter 2020 (Instructor: Brian Thelen)
EECS 545: Machine Learning - Fall 2018, Fall 2019 (Instructors: Clayton Scott, Alfred Hero)
Stats 608: Monte Carlo Methods in Statistics - Winter 2019 (Instructor: XuanLong Ngueyn)
Math 525: Stochastic Process - Fall 2015 (Instructor: Sergey Nadtochiy)
Math 623: Computational Finance - Fall 2014 (Instructor: Sergey Nadtochiy)
Math 216: Differential Equations - Winter 2014 (Instructor: Harry D'Souza)
Michigan Math and Science Scholars program - Summer 2014 (Instructor: Doug Shaw)
Math 571: Numerical Linear Algebra and Math Labs - Fall 2013 (Instructor: Shravan Veerapaneni)
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