May 2026
Professional
Teaching
Taught bachelor's-level research methodology to undergraduate students during the Winter 2025/26 semester at Aix-Marseille University.
PhD candidate in cognitive neuroscience · conversation · neural time-series analysis
Hiro Yamasaki
PhD candidate in cognitive neuroscience with an interdisciplinary background spanning linguistics, cognitive science, computational methods, and neural time-series analysis. My work focuses on spoken communication and naturalistic conversation, with a particular interest in the methodological and theoretical challenges of studying interactive behaviour and brain activity together.
CV
Contact
Aix-en-Provence / Marseille, France
+33 (0)7 88 80 78 57
hiroyoshi.yamasaki@etu.univ-amu.fr
Research Interests
- Cognitive science
- Computational modelling
- Neural time-series analysis
- Conversation
Technical Skills
Python, R, SQL, Java, C/C++
NumPy, pandas, SciPy, scikit-learn, PyTorch, matplotlib, MNE-Python
Praat, Jupyter, Git, Linux, Slurm, LaTeX
Languages
Japanese (native), English (C1/C2), German (C1), French (C1), Russian (C1), Czech (C1), Ukrainian (B2), Yiddish (B1, reading only)
Jan 2026
Jan 2024
Jan 2022
Jan 2020
Jan 2018
Jan 2016
Jan 2014
Jan 2012
Jan 2010
Sep 2025
Education
PhD in Cognitive Neuroscience
Research focus on conversation, communication, and computational approaches to naturalistic speech.
Apr 2023
Professional
PhD Candidate
Conduct interdisciplinary research on spoken communication and naturalistic conversation using neural time-series methods, integrating linguistics, neuroscience, and computational modeling.
Jan 2023
Professional
Research Engineer
Developed AI-based methods for automatic extraction of conversational features from speech data, contributed to corpus generation and curation, and co-authored two conference papers.
Jun 2022
Education
M.Sc. in Cognitive Science
Master's thesis on machine-learning analysis of MEG data acquired during speech production. Overall grade 16.7/20; Year 2 grade 17.0/20.
Jun 2022
Professional
Research Internship (Master's Thesis)
Conducted machine-learning analysis of MEG data acquired during speech production as part of my master's thesis.
Jun 2021
Professional
Research Internship
Theoretical research on relationships between neuroscience, artificial intelligence, and psychology.
Sep 2018
Education
Studies in IT and Cognition
Coursework in machine learning and natural language processing as a non-degree student.
Sep 2016
Professional
Research Assistant
Digitised and organised Yiddish materials at the Heidelberg Institute for Slavic Studies.
Jul 2016
Education
B.A. in Slavonic Studies
Focused on Russian, Ukrainian, and Czech linguistics. Grade: 1.1 (excellent).
Sep 2009
Education
Studies in Physics
Coursework in mathematical analysis, linear algebra, theoretical physics, and computer science as a non-degree student.
SQL
Praat
