✏️ Teaching

I am passionate about computer science education and pedagogy, working to make teaching accessible and engaging for students! Here is some of the experience I have had with teaching and mentorship.

🐻 University of California, Los Angeles (UCLA)

I have been a part of the teaching staff for a variety of classes at UCLA, mostly as part of the UCLA Learning Assistant Program.

✏️ Head Learning Assistant

Learning Assistant Program at UCLA

March - June 2024

Los Angeles, California

Helping teach COM SCI 35L: Software Construction taught by Dr. Paul Eggert.

Details

Responsible for leading course logistics and pedagogy with a team of Learning Assistants (LAs).
Lead a team of five LAs to work with TAs to run weekly discussions, coordinate office hours, create practice problems on worksheets, 2x workshops on frontend and backend development, and 6x assignment guides related to software construction topics (e.g. Python scripting, Bash scripting, debugging with GDB, etc). Coordinated responses to student questions on the class Piazza ensuring that students received an average response time of 17 mins.
Received 2x shoutouts from UCLA students for making students "feel particularly included" in a CS class during the bi-annual Computer Science Department Spring 2024 Town Hall Survey.

🔐 Teaching Assistant (TA)

EC ENGR 117/COM SCI M138: Computer Systems Security

January - March 2024

Los Angeles, California

Teaching Assistant (TA) for EC ENGR 117: Computer Systems Security taught by Dr. Yuan Tian during the Winter 2024 Quarter.

Details

Responsible with driving novel content and facilitating pedagogy through writing new course assignments, updating content curriculum, developing autograder scripts, writing course & quiz review problems, and teaching lab sections. More information soon.
Recevied a shoutout from UCLA students in a poll for "Best TA You've Had at UCLA" conducted on the UCLA Reddit.

📝 Returning Learning Assistant

Learning Assistant Program at UCLA

January 2024 - March 2024

Los Angeles, California

Helped teach COM SCI 35L: Software Construction taught by Dr. Paul Eggert.

Details

Developed activities and practice problems to teach students about software construction topics (e.g. regular expressions, Git and version control, etc). More information soon.

📝 New Learning Assistant

Learning Assistant Program at UCLA

September 2023 - December 2023

Los Angeles, California

Helped teach COM SCI 35L: Software Construction taught by Dr. Paul Eggert.

Details

Ran weekly discussions teaching software construction topics such as Linux, scripting, package management, version control, etc. More information soon.

⚙️ New Jersey Governor's School of Engineering & Technology (GSET)

The New Jersey Governor's School of Engineering & Technology (GSET) is an intensive residential summer program held at Rutgers University. I am deeply passionate about the program and have been involved with teaching some of the top engineering high school students in New Jersey to engineering and computer science topics.

⚙️ Project Mentor

New Jersey Governor's School of Engineering & Technology

June - August 2023

New Brunswick, New Jersey

Mentored five of the top 72 engineering high school students in NJ in a computer systems security research project.

Details

Taught security literature, threat modeling, AI security, collaborative software development, full-stack development, and blockchain/smart contract development.
Guided students through developing a solution to address data poisoning attacks in crowdsourced machine learning datasets by using Ethereum smart contracts resulting in a research paper, "SeBRUS: Mitigating Data Poisoning Attacks on Crowdsourced Datasets with Blockchain", which was accepted to the 2023 MIT IEEE Undergraduate Research Technology Conference.

📝 Residential Teaching Assistant

New Jersey Governor's School of Engineering & Technology

June - July 2022

New Brunswick, New Jersey

Taught the top 71 engineering high school students in NJ.

Details

Taught the top 71 engineering high school students in NJ through workshops relating to engineering research, Git/GitHub, machine learning, and LaTeX/Overleaf.
Facilitated research as a project liaison for two research groups who investigated using properties of structure-borne sounds and machine learning models in MATLAB to identify hand structure as a biometric mobile authentication system and developing crowd-sourced engagement features for higher education through a web application written in React.js.
Guided both groups through developing research papers resulting in two publications, A Secure and Reliable Mobile Authentication Alternative Utilizing Hand Structure & Modeling the Effects of Engagement Methods in Online Crowd-sourcing Platforms, at the 2022 MIT IEEE Undergraduate Research Technology Conference.