Professional and student course, Institute of Computational and Mathematical Engineering, Stanford University, 2023
I taught the Introduction to Statistics course at the 2023 ICME Summer Workshops Fundamentals of Data Science, which covers the fundamentals of data science for Stanford students and professionals in industry internationally.
Professional course, Amazon Web Services (AWS), 2022
I taught and developed the materials for a course on operational time series forecasting covering classical local state space models, e.g., ARIMA and ETS and deep learning models, e.g., DeepAR. In addition, we covered how to use the GluonTS time series toolkit.
Graduate course, Stanford University, 2016
I taught and developed an Advanced MATLAB course aimed for graduate student scientists and engineers, covering topics including data structures, memory management, advanced graphics in higher dimensions, code optimization and debugging, object-oriented programming, compiled MATLAB (MEX files and MATLAB coder), and optimization, parallel computing, symbolic math and PDEs toolboxes.
Professional and student course, Institute of Computational and Mathematical Engineering, Stanford University, 2016
I was the organizer of the 2016 ICME Data Science Workshops, which covered the fundamentals of data science for Stanford students and professionals in industry. I was also the instructor of the Advanced MATLAB workshop.
Graduate course, Institute of Computational and Mathematical Engineering (ICME), Stanford University, 2015
I taught the Numerical Linear Algebra ICME refresher course for incoming ICME graduate students to help them prepare for their first year core graduate courses.
Undergraduate course, University of California, Berkeley, 2012
I taught the undergraduate Math 54 course at the University of California, Berkeley.
Undergraduate course, University of California, Berkeley, 2011
I was one of a few undergraduate student instructors selected in the University of California, Berkeley’s mathematics department from 2011-2012.