About Me

Mark Chen

I'm an undergraduate student in Theoretical CS at Columbia University, graduating May 2026, with exposure to math and physics as well.

I'm broadly interested in anything theory-related. As of now, I'm actively thinking about:

Fundamentally, I'm driven by privacy — the pursuit of "the right to be let alone". My interests in cryptography, privacy, and the theoretical foundations of related fields are instantiations of this fundamental drive.

Contact

Email:
GitHub: mychern
Google Scholar: link


Research

By default, authors are ordered alphabetically by last name. * indicates co-authors who contributed equally (also alphabetically listed).

Publications & Preprints

With Pierre Tholoniat, Alison Caulfield*, Giorgio Cavicchioli*, Benjamin Case, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer, and Martin Thomson
In Submission — OSDI '26
  • A follow-up to the SOSP '24 paper Cookie Monster.
  • At the CS3 NSF site visit day workshop, our work received unanimous top-band rating.
  • PATWG preliminarily approved adopting this work to their standardization, considered by major browsers including Firefox and Chrome.
With Xi Chen, Hao Cui, William Pires, and Jonah Stockwell
STOC '26
  • Accepted with two “Strong Accept”s.

Talks & Posters

Survey Papers & Class Projects


Teaching

Teaching Assistant

Duties include weekly office hours, grading, and occasionally contributing homework or exam questions.

TA
Spring 2026
Intro to Cryptography (COMS 3262)
Columbia University — expected enrollment: 30+ students
TA
Spring 2026
Analysis of Algorithms (CSOR 4231)
Columbia University — final enrollment: 130+ students
TA
Fall 2023
Introduction to Computational Complexity (COMS 4236)
Columbia University — final enrollment: 30+ students
TA
Fall 2023
Analysis of Algorithms (CSOR 4231)
Columbia University — final enrollment: 110+ students

Seminars & Talks Given

Typed Notes & Scribing

Programs


Industry

Google
4× intern
Summer 2025 — Google Ads Privacy and Data Governance (APDG)
Built data and interactive feedback pipelines to automate privacy documentation writing and review processes using experimental fine-tuned Gemini APIs.
Summer 2024 — YouTube Nitrate Pay-Gated Content Recommendation
Data pipeline construction and fine-tuning ML models for content recommendations.
Summer 2023 — Over-the-Top (OTT) Platform Service
Wrote an end-to-end DVR testing system for streaming services, reducing bug detection time from days to hours.
Summer 2022 — YouTube Commerce Payments Backend
Wrote RPC server features for non-recurring plan listing and fulfillment.
VC / Finance
2020–2021
Gap year working on tech-focused early-stage investments
At Nantucket (Summer 2021), ZhenFund (Spring 2021), K2VC (Fall 2020), and Ivy Capital (Summer 2020). Besides managerial and investment analytical experiences, I built a portfolio management visualization tool (JavaScript) and a market research scraper (Python).

Recognitions

College

High School


Misc

My role model is Alex Honnold. My favorite moment of his — that is the sheer obsession I want to have.

I spent two summers in high school painting and drawing and still do casual sketches. I play basketball and tennis for fun, enjoy walking around, getting coffee and boba.

My great grandfather was a Chinese history scholar who survived the Laogai through decades of hiding. I always remember him as a knowledgeable, positive man surrounded by books from his scholarly days in the 1930s–40s. His memory lives on in my habit of reading Wikipedia pages about Chinese history and digital records of ancient texts (through this great effort!). For trivia, I can match most Gregorian years to their corresponding Chinese era names.

Originally from Ningbo, I've lived in Shanghai and Beijing (China), Manchester / Auburn NH, Bloomfield Hills MI, New York City, and the SF Bay Area. I also studied briefly in Auckland, New Zealand and Paris, France.

I'm fluent in English and Mandarin, took Latin to AP level, and am currently learning French and Russian.

Relevant Coursework

Undergrad

CS — Theory: Advanced Cryptography (intersecting TFNP), Intro to Cryptography, Unconditional Lower Bounds & Derandomization, Computational Complexity, Analysis of Algorithms, Quantum Computing.

CS — Systems: Distributed Systems, Computer Networks, Competitive Programming, Blockchain, Databases, Systems Programming, Data Structures.

Mathematics: Modern Analysis I&II, Modern Algebra I&II, Functions of Complex Variables, Topology.

Physics: Accelerated Intro to Physics I&II (Kleppner & Kolenkow for Mechanics; Purcell & Morin for E&M; quantum mechanics via A. P. French).