I am a master’s student at Stanford University advised by Tatsunori Hashimoto. I previously conducted research with Christopher Potts and Diyi Yang.
I work on the science and development of language models, most recently scaling laws, capabilities and evaluation.
In the past, I was a software engineering intern at Optiver, competed in ICPC, ran Stanford’s Computer Science club and was a teaching assistant for Stanford’s computer science courses.
I grew up in the Netherlands before coming to Stanford for my undergraduate degree. Outside of research, I dance for the Stanford Viennese Ball, am learning to speak Mandarin and enjoy eating cháng fěn (肠粉) and drinking tea.
Research
See also my Google Scholar.
Do Language Models Consistently Encode the Current Year?
Suze van Adrichem*, Aditi Bhaskar*, Diyi Yang, Christopher Potts, Jing Huang.
COLM, 2026.
*Equal contribution
arXiv /
OpenReview /
Github
Previously
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Co-President, 2025–2026
Financial Officer, 2024–2025 Stanford ACM - Software Engineering Intern, Summer 2025 Optiver
- Team Competitor, 2024–2025 ICPC
- Undergraduate Teaching Assistant, 2024 CS198
News and olds
- July 2026 Our paper on how language models encode the current year was accepted at COLM!
- March 2026 Interviewed by The Stanford Daily about co-leading Stanford ACM and its 500+ members.
- June 2025 Won CS336’s scaling laws competition, achieving the lowest pre-training loss for a given compute budget.
- February 2025 Won Best Prototyping and Best Use of GenAI at Treehacks for BAS Buddy.
- November 2024 Placed 1st at the ICPC D2 California regional and 2nd at Northwest Pacific.
- November 2023 Featured in Stanford Report’s snapshot of the Class of 2027.
- September 2022 Became a Rise Fellow, one of 100 selected from over 80,000 applications.