Description

I’m a PhD researcher in neuroscience based in Japan, with a strong engineering and information-science background. My work sits at the intersection of research, data, and clear communication: I analyze complex datasets, build reproducible workflows, and translate technical ideas into outputs that others can understand and reuse.

I’m comfortable working with structured and unstructured research data, designing analysis plans, validating assumptions, and producing clear summaries (tables/figures + written interpretation). I also have hands-on experience with practical data collection settings—such as EEG-related projects—where careful documentation and reliability matter as much as the analysis itself.

Beyond analysis, I support scientific communication: academic editing, technical writing, and EN↔JP translation. I value precision (terminology, units, definitions), consistency, and a clean structure that makes the work easy to maintain. I communicate proactively, prefer clear written updates, and treat all materials as confidential.

If you need someone who can both “do the analysis” and “explain the results” in a disciplined, research-grade way, I can help.

Industry field of expertise

Languages

Japanese
Native or bilingual
English
Conversational

Workplace preferences

Remote only

Primarily works remotely

Araya Inc.
R&D Neurotech Student Intern
July 2022 - June 2024 (1 year and 11 months)
R&D student intern in neurotechnology focused on EEG-based device development. Built and tested EEG measurement setups, improved data acquisition reliability, and supported validation experiments to assess signal quality and usability. Organized datasets and analysis scripts, and documented procedures and results for the engineering/research team.
Data analysis Scikit-learn Machine learning EEG Neurosciene
Araya Inc.
Neurotech Student Intern
January 2024 - March 2024 (2 months)
R&D student intern in neurotechnology. Built and evaluated EEG acquisition workflows and supported speech-decoding experiments by collecting EEG data, preprocessing signals, and training classification models. Delivered reproducible analysis pipelines, clear documentation, and result summaries for the research team.