Postdoctoral Mentor
University of Chicago, Data Science Institute
I am a postdoc mentor for the Data Science Clinic, a project-based course where teams of students take on data science projects originating from real-world clients.
Fall 2023 – Spring 2024
- Project Title: “Operational Requirement Management Using Graph Based Knowledge Networks & Large Language Models”
- Client: AI for Operations Team @ Argonne National Laboratory
- Co-mentor: Bill Trok
- Our students received the 2023–2024 Award for Excellence in Data Science for being one of the top-5 (out of 46) teams! (news)
Guest Lecturer
I gave guest lectures in the following undergraduate/graduate-level courses.
- “A Casual Introduction to AI, Machine Learning, and Large Language Models”
- In Ethical Challenges of AI, Ethics Lab, Georgetown University, Fall 2024
- In Ethical Challenges of AI, Ethics Lab, Georgetown University, Fall 2024
- “Model-Free Prediction for Stationary and Nonstationary Time Series in Python”
- In Financial Time Series Analysis, Master’s in Computational Finance (MSCF) Program, Carnegie Mellon University, Spring 2023
- “Basic Time Series Analysis and ARMA Modeling in Python”
- In Financial Time Series Analysis, Master’s in Computational Finance (MSCF) Program, Carnegie Mellon University, Spring 2022
Summer Research TA/Mentor
I worked as a TA/Mentor for the following summer research programs at Carnegie Mellon University. In this role, I led daily lab sessions to help provide guidance for applied data science projects in healthcare and sports.
- UnitedHealth Group Bridges to Healthcare Technology, Summer 2023
- As a “TA Advisor”, I advised a group of aspiring data scientists examining how access to mental health care services impacts mental health outcomes across the U.S.
- Here are links to their final report, slides, and poster.
- Summer Undergraduate Research Experience (SURE): Sports & Healthcare Data Science, Summer 2022
Teaching Assistant
I worked as a TA for the following university courses.
Carnegie Mellon University
- Financial Time Series Analysis, Spring 2023
- Simulation Methods for Option Pricing, Spring 2023
- Financial Time Series Analysis, Spring 2022
- Special Topics: Methods of Statistical Learning, Spring 2021
- Statistical Machine Learning II, Fall 2016
- Introduction to Probability Modeling, Spring 2016
- Statistical Computing, Fall 2015
University of Chicago
- Machine Learning and Large-Scale Data Analysis, Spring 2015
- Foundations of Computational Data Analysis, Winter 2015
- Calculus I-II-III, Fall 2012 – Spring 2013