Shaoxiong Ji

Dr. Shaoxiong Ji is a principal investigator at ELLIS Institute Finland and an assistant professor at the University of Turku. He is a Foundation PS Fellow and a faculty member of the ELLIS Society.

Prior to his current positions, he worked as an independent research group leader at the Technical University of Darmstadt (2024-2025) and as a postdoctoral researcher at the University of Helsinki (2023-2024). He completed his PhD at Aalto University (2019-2023) under the supervision of Pekka Marttinen. During his doctoral candidature, he was a visiting researcher at Institute for Information and Language Processing, Ludwig Maximilian University of Munich (LMU Munich) and the Finnish Institute for Health and Welfare (THL).

Research Interests

His research focuses on Large Language Models (LLMs), natural language processing, and AI for healthcare. He is particularly interested in LLM post-training (fine-tuning, reasoning, alignment), multilingualism in LLMs, and developing autonomous LLM-powered agents for health applications.

Shaoxiong Ji

Professional Activities

Editorial & Chairs

Publication Chair: EMNLP 2026
Area Chair: ACL ARR (2025), EMNLP Demo (2025), EACL Demo (2026)
Guest Editor: Neurocomputing, Future Generation Computer Systems

Program Committee

EMNLP (2021-24), COLING (2022), NAACL (2021), EACL (2023), ECML-PKDD (2021-22), AAAI (2022-23), ACM CSCW (2021).

Awards

Foundation PS Fellowship (2025), SemEval-2025 Best Task Runner-up Award (2025), Top 2% Annual Impact (2023-25), UTTER FSTP Grant (2024), Nokia Scholarship (2021), ELISE Mobility Grant (2022), FCAI Travel Grant (2022).

Teaching & Mentorship

I am committed to training the next generation of AI and NLP researchers. My teaching portfolio includes advanced courses in natural language processing and mathematics for linguistics.

  • TU Darmstadt: Data Analysis Software Project for Natural Language (Mentor, 2024-25)
  • University of Helsinki: Mathematics for Linguists (Lecturer, 2024 Spring), Independent project, Language Technology Research Project (Mentor, 2024)
  • Aalto University: Machine Learning: Advanced Probabilistic Methods (TA, 2021), Research Project in Machine Learning, Data Science & AI (Mentor, 2020-23), Seminar in Computer Science: Internet, Data and Things (Mentor, 2020-21)

I have supervised and instructed numerous MSc and PhD students across Aalto University, University of Helsinki, and TU Darmstadt, with many former students pursuing doctoral studies or leadership roles in industry (HUS, Metsä Group).

Explore our current Research Team and Alumni.