CV

Last updated September 2026

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Profile

I am an undergraduate student in the Faculty of Engineering at The University of Tokyo, with a focus on Electrical Engineering and Computer Science. My research interests lie in natural language processing, large language models, multilingual evaluation, and language technologies for education and cross-cultural communication.

Education

Apr. 2022 – Mar. 2027 (expected)

The University of Tokyo

  • Focus: Electrical Engineering and Computer Science. GPA: 3.91 / 4.00.
  • Advisor: Prof. Toshihiko Yamasaki.

Sep. 2024 – Jun. 2025

University College London (UCL)

  • Nominated by The University of Tokyo for an official exchange programme.
  • Completed 90 UCL credits, equivalent to 45 ECTS credits.

Research Experience

Jun. 2026 – present

ETH Zurich, Department of Computer Science

  • Selected as one of 20 fellows from over 2,000 applications.
  • Conducting a research project on multilingual LLM tutors for educational settings.

Jun. 2025 – present

University College London (UCL)

  • Conducted research on large language models and dataset linguistic structure.
  • Co-authored a workshop paper accepted to ICLR 2026 Workshop DATA-FM.

Selected Publications

  • S. Asano, J. Baek, and T. Yamasaki. “Beyond Bilingual Transfer: Multilingual Code-Switching in Instruction Tuning.” Findings of the Association for Computational Linguistics: AACL-IJCNLP 2026, 2026 (to appear). Also presented at MIRU 2026.
  • R. I. Masoud, C. Feng, S. Asano, S. Alshahrani, P. C. Treleaven, and M. R. D. Rodrigues. “Beyond Training for Cultural Awareness: The Role of Dataset Linguistic Structure in Large Language Models.” ICLR 2026 Workshop on Navigating and Addressing Data Problems for Foundation Models (DATA-FM), 2026.
  • V. Zouhar et al. “Last Translation Benchmark.” arXiv preprint arXiv:2609.04173, 2026.

See all publications with links →

Selected Awards

  • Toyota Riken Overseas Scholarship — selected as one of up to 10 fellows nationwide, receiving up to JPY 10 million (approx. USD 65,000) annually for graduate study leading to a Ph.D. abroad, beginning in Fall 2027.
  • ETH Student Summer Research Fellowship, Department of Computer Science, ETH Zurich, 2026 — one of 20 fellows from over 2,000 applications.
  • Vena Energy Scholarship — awarded to the top two students in a cohort of approximately 1,000 at the Faculty of Engineering, The University of Tokyo.
  • GLP-GEfIL Scholarship — awarded to selected University of Tokyo students conducting research abroad.
  • Integration Bee 2025, 1st Place, University College London.

Selected Experience

Jul. 2022 – present

Mantra Inc.

  • Developed a human-in-the-loop pipeline leveraging large language models to generate educational content for English learners in Japan.
  • Supervised a team of 10+ contributors and established quality control protocols to ensure pedagogical accuracy.

Jul. 2025 – Mar. 2026

MentorMind

  • Led product and technology strategy for an early-stage education technology startup.

Mar. 2026

UTEC

  • Conducted market and technology research to support investment analysis in deep tech and university-originated startups.

Sep. 2024

RAKSUL INC.

  • Worked on English prompt engineering for an LLM-based product description generation system, reducing human workload by approximately 50%.

Aug. 2022

Ministry of Economy, Trade and Industry (METI)

  • Analyzed structural challenges in the Japanese education system with policymakers, focusing on increasing the number of PhD holders.

Projects and Activities

Nov. 2025 – May 2026

Africa Youth Social Entrepreneurship Program

  • Proposed an NLP-based solution for low-resource languages to bridge the linguistic divide between vernacular and academic dialects in Africa, with a particular focus on Kenya.

Mar. 2026 – present

UTokyo Africa Akamon-kai

  • Contributed to founding a University of Tokyo community connecting students, alumni, and professionals with interests in Africa.

Skills

  • Programming languages: Python, C/C++
  • Machine learning and NLP: PyTorch, Hugging Face Transformers, scikit-learn, LLM fine-tuning and evaluation, prompt engineering
  • Data analysis: pandas, NumPy, matplotlib, statistical analysis

Languages

  • Japanese — Native
  • English — CEFR C2 (TOEFL iBT 118/120)
  • Spanish — Intermediate, approx. CEFR B1
  • German — Elementary, approx. CEFR A2