Mentoring
I have been a mentor for 4 different programs
Summer Geometry Institute at MIT 2023 - I mentored a project combining geometry and optimization here. Here, I mentored four undergraduate students and one graduate student.
Michigan Research Experience for Graduate Students at Michigan 2022 - I mentored a project on random matrix theory and generalization error for denoising. Here, I mentored four graduate students. With two of the students, over the next year, we wrote a paper that was published in TMLR.
Computation Applied Math REU at UCLA 2022 - I mentored four undergraduate students and one graduate student. We have a published paper.
Computation Applied Math REU at UCLA 2022 - I mentored four undergraduate students here. We have a published paper.
I have also mentored the following students in research outside the above programs.
Xinyue Cui - I mentored her from 2021 - 2023. During this time, she was a senior at UCLA and then a master's student at USC. She is now a Ph.D student in Computer Science at USC. As part of the mentoring, we
Won a competition at ICLR
Have one proceeding paper
Have one workshop paper
Have one preprint
2. Xinyue Li - I mentored her starting in 2022. She is now a Ph.D. student in applied math and statistics at Yale. As part of the mentoring, we
Have one preprint
3. Praveen Bandla - I mentored him in 2023. He was an undergraduate student at UCLA. He is now doing a master's in Data Science at NYU. As part of the mentoring, we
Have one preprint
Teaching
Classes Taught at Current Institution UCLA:
Math 170S - Statistics
Math 170E - Probability for Engineers
Math 131A - Analysis
Math 270B - Graduate Class - Numerical Linear Algebra
Math 270A - Graduate Class - Introduction to Scientific Computing
Math 135 - Ordinary Differential Equations
Math 164 - Optimization.
Past Teaching:
University of Michigan (As a Graduate Student Instructor):
Fall 2019: GSI for EECS 505 - Computational Data Science and Machine Learning
Fall 2018: Course Co-coordinator for Math 116: Calculus 2
Summer 2018: EECS 203 - Discrete Mathematics
Winter 2018: MATH 116 - Calculus 2
Fall 2017: MATH 526 - Discrete Stochastic Processes
Winter 2017: MATH 116 - Calculus 2
Fall 2016: MATH 115 - Calculus 1
Carnegie Mellon University:
(TA) Spring 2015: Math 122 - Integration, Differential Equations and Approximation
(Grader) Fall 2014: Math 237 - Mathematical Studies Algebra 1
(Grader) Fall 2014: Math 301 - Combinatorics
(Grader) Spring 2014: Math 127 - Concepts of Mathematics
(Grader) Spring 2014: Math 301 - Combinatorics
(Grader) Fall 2013: Math 301 - Combinatorics
Peer Tutor hired by the university of a variety of Mathematics and Computer Science courses Spring 2013 - Spring 2016