Education

1. 2021 – 2022 M.S. in Data Science (MS-DAS Program) Carnegie Mellon University
   Capstone project building product recommendation systems on top of knowledge graphs and semantic embeddings.
2. 2018 – 2021 B.S. in Mathematics (Major), Computer Science (Major), Chinese Studies (Minor) Carnegie Mellon University
   Completed in 3.5 years, concurrent with Master's program.
3. June – July 2025 Summer Research Program – Student Wolfram Institute
4. June 2019 – July 2019 Study Abroad – Chinese Language and Culture Shanghai International Studies University

Career

1. April 2024 – Present MIT FutureTech Research Assistant
2. February 2023 – March 2024 MFS Investment Management Software Engineer
3. August – December 2022 Meta/Facebook Software Engineer
4. January – May 2022 PNC Financial Services Group Master's Capstone Project
5. June – August 2021 Qualcomm Linux Security Team, Software Engineering Intern
6. 2020 – 2021 Carnegie Mellon University Teaching Assistant
   21-128 Mathematical Concepts and Proofs
   15-151 Mathematical Foundations of Computer Science
   21-241 Matrices and Linear Transformations
7. June – August 2020 Audition Technology Software Engineer, Intern
8. November 2019 – April 2020 Expii, Inc. Content Developer, Intern

Publications

1. 2026 Science Is Falling Behind the Frontier: Foundation Model Adoption Across Half a Million Papers Ana Trišović*, Alex Fogelson*, Janakan Sivaloganathan, Neil Thompson NeurIPS 2026 — Workshop: AI4MetaScience
2. 2026 On the Origins of Algorithmic Progress in AI Hans Gundlach*, Alex Fogelson, Jayson Lynch, Ana Trisovic, Jonathan Rosenfeld, Anmol Sandhu, Neil Thompson NeurIPS 2026, Main Track ICML TAIGR 2026 — Best Paper Award
3. April 2026 Two AI Metrics Diverged: Will it make the difference? Alex Fogelson*, Zachary A. Brown*, Hans Gundlach, Jayson Lynch, Neil Thompson ICML TAIGR 2026
4. December 2025 Four Facts About U.S. China Competition in China
5. July 2025 The computational limits of language models Alex Fogelson Wolfram Summer Research Program

Talks

1. 2026 The Rapid Growth of Foundation Model Usage in Science AI and the Future of Work Conference — Wharton School of Business
2. 2025 The Computational Limits of Language Models Wolfram Technology Conference — Wolfram Research
3. 2024 The AI Risk Repository Guest lecture — Elisava School of Design and Engineering IAM

Writing

1. May 2026 How Much Would It Have Cost Claude Shannon to Train Claude Opus Under: Mixture of Experts
2. March 2026 Can Academic Science Keep Up with the AI Frontier Under: Mixture of Experts
3. January 2026 On the Origins of Algorithmic Progress Under: Mixture of Experts