CV
Curriculum vitae and research experience.
Contact Information
| Name | Ryo Mitsuhashi |
| Role | Undergraduate Student @ Princeton University |
| rm4411[at]princeton.edu |
Summary
Senior at Princeton University majoring in Computer Science with minors in Applied and Computational Mathematics, Humanistic Studies, and Statistics and Machine Learning. Applying to PhD programs in NLP for Fall 2027.
Experience
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Jan 2026 - Mar 2026 Tokyo, Japan
Research Intern
Hitachi Central Laboratory
- Assessed Chain of Thought (CoT) faithfulness via control experiments and unlearning techniques
- Accepted to ACL 2026 Student Research Workshop (oral)
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May 2025 - Jan 2026 Doha, Qatar
Research Intern
Qatar Computing Research Institute
- Extracted output language features in Cross-Layer Transcoders (CLT)
- Developed a novel dataset for antonym prediction and closed-set enumeration
- Accepted to EMNLP 2026 (Main)
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Aug 2025 Tokyo, Japan
Engineering Intern
SB Intuitions
- Applied GRPO to Sudoku and competitive coding with NeMo-RL (~90% Sudoku accuracy on Qwen2.5 7B)
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Dec 2024 - Jan 2025 Tokyo, Japan
Software Engineering Intern
Fixstars Corporation
- Built a memory consumption estimator for Llama 3 architectures
- Automated evaluation with Bash and Python on a Megatron-LM environment
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May 2024 - Aug 2024 Princeton, NJ
Research Assistant
Andlinger Center for Energy and the Environment, Princeton University
- Developed a web platform visualizing energy transition bottlenecks
- Extended an open-source traffic simulator with custom JS/CSS/HTML visualizations
Education
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Sep 2023 - May 2027 Princeton, NJ
B.A.
Princeton University
Computer Science
- Minors: Applied and Computational Mathematics, Humanistic Studies, Statistics and Machine Learning
- Cumulative GPA: 3.82/4.0; Major GPA: 3.97/4.0
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Apr 2023 - Aug 2023 Tokyo, Japan
B.S. (partial)
University of Tokyo
Computer Science
- Enrolled for a semester and completed 15 credits toward the Bachelor of Science
Research Projects
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May 2026 - Present Princeton, NJ
Deconstructing In-Context Learning (Prof. Tom Griffiths)
Princeton University
- Analyzing memorization and generalization failures in ICL and improving them via interventions
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Jan 2026 - Present Princeton, NJ
MLE Agent (Prof. Karthik Narasimhan)
Princeton University
- Testing how SFT improves metrics and agent behavior on MLE Bench
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Feb 2026 - Present Princeton, NJ
OccludeBench (Prof. Zhuang Liu)
Princeton University
- Benchmark testing VLMs’ ability to recover fully occluded objects
- Accepted to Computer Vision in the Wild, CVPR 2026
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Mar 2026 - May 2026 Princeton, NJ
Compute–Supervision Tradeoff in RLVR
Princeton University
- Studied how rollouts compensate for noisy verifiers in GRPO
- Accepted to CTB (Combining Theory and Benchmarks), ICML 2026
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Nov 2025 - Jan 2026 Princeton, NJ
Guess the Unified Model
Princeton University
- Classifier attributing image origins across 7 open- and closed-source models
- Accepted to ICLR 2026 DATA-FM workshop
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Mar 2025 - Present Princeton, NJ
Fast Convolution of Toeplitz Kernel (Prof. Marc Gilles)
Princeton University
- Optimizing Chebyshev-series convolution from O(n³) toward O(n²)
Awards
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2023 Toshin Study Abroad Scholarship
Toshin
95,000 USD/year for four years of undergraduate study abroad
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2026 OURSIP Summer Grant
Princeton University
7,200 USD for on-campus summer research
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2026 Conference Travel Grants
Princeton University
ICLR 2026 (1,250 USD from university); ACL 2026 (600 USD from university + 750 USD workshop grant)
Skills
Programming: Python (4+ years), Java, JavaScript; C/C++, SQL, Golang, OCaml, MATLAB, PHP, R
Tools: Git/GitHub/GitLab, Linux, macOS, Windows, Slurm/PBS, Docker/Apptainer
Languages
English : Fluent
Japanese : Native
Spanish : Beginner
Korean : Beginner
Leadership and Activities
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Sep 2023 - Present Co-President
Japanese Student Association, Princeton University
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Sep 2023 - Present Member
Men's Club Soccer, Princeton University
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Sep 2023 - Dec 2024 Working Unit Member
Civic Leadership Council, Princeton University
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Jun 2022 - Apr 2024 Core Member
Mielka (voter engagement nonprofit, Japan)
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Apr 2020 - Mar 2022 Captain
Varsity Soccer Team (High School)
Coursework
Computer Science: Reasoning about Computation (TA), Computer Vision, Distributed Systems, Theory of Computation, Reinforcement Learning, NLP
Mathematics: Numerical Analysis, Graph Theory, Complex Analysis
Academic Service
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2026 Peer Reviewer
ICLR 2026 DATA-FM Workshop