About

Previously, I did my undergraduate studies in Computer Science (Honors) & Math at UMich. I was extremely fortunate to have the opportunity to work on Refraction Networking under Prof. J. Alex Halderman and Eric Wustrow.

Prior to joining UMich, I spent a year at ByteDance working as a Recommendation & Natural Language Processing (NLP) Algorithm Intern. Before that, I began my undergraduate journey in Computer Science & Math at the University of Sydney, during which I also engaged in several research projects and a Winter (Summer in the US) Research Internship in Graph-Processing Algorithms.

I’m also interested in enhancing data protection and combating misinformation on social platforms, decentralized systems, and secure IoT ecosystems. Alongside these interests, I maintain a focus on Machine Learning (ML) related fields, including LLM security and Machine Unlearning, exploring their potential to further secure and liberate digital interactions.

Twitter / LinkedIn / GitHub

Research & Papers

Just add WATER: WebAssembly-based Circumvention Transports Erik Chi, Gaukas Wang, J. Alex Halderman, Eric Wustrow, Jack Wampler FOCI 2024: The Free and Open Communications on the Internet Presented at the online event of FOCI'24 Website / PDF / BibTeX / Code / Talk / Slides @inproceedings{Chi2024a,   author = {Erik Chi and Gaukas Wang and J. Alex Halderman and Eric Wustrow and Jack Wampler},   title = {Just add {WATER}: {WebAssembly-based Circumvention Transports}},   booktitle = {Free and Open Communications on the Internet},   publisher = {},   year={2024},   url = {https://www.petsymposium.org/foci/2024/foci-2024-0003.pdf}, }

Teaching

I enjoy teaching! I’m currently an Instructional Aide for the following courses at the University of Michigan:

I have been a teaching assistant (academic tutor) for the following classes while an undergrad at USyd:

Professional Service

Experience

Center for Computer Security and Society, University of Michigan, Ann Arbor, MI Research Assistant (working on Refraction Networking), 2023 - present
CURLY, University of Michigan, Ann Arbor, MI Research Assistant (worked on Hi-Fetch), 2022 - 2023
ByteDance, Beijing, China Recommendation System & NLP Algorithm Intern, 2020 - 2021
The University of Sydney, Sydney, Australia Research Intern (worked on Cohesive Subgraph Computation), 2020

☕ Misc