(my philosophy: teach math using english)

Teaching Assistantships


      Recipient of Machine Learning Department's Best TA Award, for the following contributions and student feedback.
  • Convex Optimization (PhD course) (Fall'13) - Ryan Tibshirani and Barnabas Poczos
    Duties of the four TAs included designing homeworks and solutions from scratch, designing exams, grading homeworks and exams, conducting weekly recitations, holding weekly office hours, guiding and grading several project groups, taking videos, organizing scribes, maintaing the website, etc.
    Additionally, based on feedback from the previous year, I was involved with reshaping the course structure with the professors during the summer. We decided to offer a 9 and 12 credit version, i.e. making course research projects optional. The HWs were structured to have one "mastery" question (basics, practice), one theoretical proof question, one implementation question, and a choice between an advanced theory and advanced implementation question. We also brought in new material, and re-ordered the course.
  • Convex Optimization (PhD course) (Fall'12) - Geoff Gordon and Ryan Tibshirani
    Duties of the four TAs included designing homeworks and solutions from scratch, designing exams, grading homeworks and exams, conducting weekly recitations, holding weekly office hours, guiding and grading several project groups, taking videos, organizing scribes, maintaing the website, etc.

Guest Lectures


Future Faculty Program (in progress)

A fantastic program run by CMU's Eberly Teaching Center for aspiring faculty
  • Microteaching Workshop (Spring '14)
  • Classroom Teaching Observation (Spring '14)
  • Building a Teaching Portfolio Seminar (Spring '14)
  • Course and Syllabus Design Seminar (Summer '14)
  • Syllabus Workshop (Summer '14)
  • Crafting a Teaching Statement Seminar (Summer '14)