UCLA Henry Samueli School of Engineering and Applied Science:

Guest Lecturer for Bioengineering Department’s Seminar Series: November 16th, 2020

• Machine Learning for Clinical Risk Prediction

Johns Hopkins Whiting School of Engineering:

Instructor: September - November 2018

• During my PhD training, I had the privilege of participating in the Hopkins Engineering Applications & Research Tutorials (HEART) program, through which advanced graduate students and postdoctoral fellows design courses to provide undergraduates with the opportunity to learn about cutting-edge engineering research and its societal impact. Specifically, I designed and instructed HEART Foundations of Statistical Machine Learning which introduced both the theoretical foundations of modern statistical machine learning models and the implementation of these algorithms in the R programming language; additional details are provided in the Nature Machine Intelligence publications below in which I shared my reflections and perspective on increasing diversity and inclusion in the machine intelligence community:
  • Fostering Diversity and Inclusion in the Machine Intelligence Community.
  • Artificial intelligence (AI) reflections in 2019.

Johns Hopkins School of Medicine:

Teaching Assistant for Medical School Intensive: July 2018

Johns Hopkins Bloomberg School of Public Health:

Guest Lecturer for Methods in Biostatistics IV: May 18th, 2017

• Random Forest Algorithm and Practical Applications in R

UCLA Henry Samueli School of Engineering and Applied Science:

Tutor: January 2013 - March 2014

• BE 120: Biomedical Transducers: January 2014 – March 2014

• BE 110: Biotransport and Bioreaction Processes: March 2013 – June 2013

• BE 100: Bioengineering Fundamentals: January 2013 – March 2013