BIOGRAPHY

[Present]
European Organization for Nuclear Research (CERN) | Mar 2017 – Present

• Leading the analysis of particle collision data from LHC experiments (ATLAS/CMS), searching for signs of new physics in event datasets containing billions of records. In particular, focused on identifying rare events and suppressing background noise.

• Introduced AI and machine learning methods, significantly improving detection efficiency and accuracy compared with conventional analysis approaches.

• Built an analysis platform for high-dimensional data using statistical modeling, Bayesian inference, and high-performance computing.

• Promoted the application of AI to research infrastructure, achieving automation of data processing, shorter analysis times, and more efficient experimental operations. This contributed to faster research output and improved team-wide productivity.

• Applied particle physics analysis methods and AI technologies to biology, contributing to the study of neural mechanisms, brain information processing, and cognitive functions. Promoted interdisciplinary research leveraging physics-based approaches.

• Also engaged in mentoring early-career researchers and graduate students, as well as preparing documentation for analysis tools, contributing to knowledge sharing and talent development.

• Applied expertise in anomaly detection, troubleshooting, and risk mitigation to the analysis of contractual and legal risks as well.

• In joint development projects with companies and research institutions, responsible for coordinating and building consensus on contract terms such as intellectual property rights, data usage, and publication schedules. Balanced the interests of multiple stakeholders while ensuring compliance with research ethics and data governance. Gained experience in drafting English-language contracts and manuals, and conducted contract review and negotiation preparation.

• In collaborations with overseas research institutions and industry partners, handled conflict resolution and consensus-building regarding technical differences of opinion and schedule coordination.

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Tohoku University, Graduate School of Life Sciences, Department of Brain Life Sciences | Apr 2026 – Present

• Research on the construction and dynamics of neural foundations underlying higher brain functions.

• To be continued!

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Tellus Inc. | Dec 2025 – Present
Development of geospatial foundation models

• Implemented algorithms for pretraining, fine-tuning, and multimodal AI using massive archival datasets.

Integration with LLMs / RAG development

• Developed algorithms enabling natural language query answering and report generation by linking satellite data analysis results with LLMs.

Implementation of analysis algorithms

• Implemented advanced algorithms for object detection, segmentation, and change detection.

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[Previous Experience]
DigitalBlast Inc. | Mar 2023 – Apr 2024
(Side job in Japan)
Development of an on-orbit R&D / manufacturing platform

• Designed experiment units for microgravity environments and developed ground mock-ups of bioreactors and microfluidic chips.

• Built alliances with space startups and overseas research institutions.

Development of compact life science experimental equipment

• Designed and developed mock-ups of compact devices capable of reproducing “lunar gravity (1/6G)” and “Martian gravity (1/3G)” using centrifugal force.

• Studied systems required for cell and plant culture, including microfluidic control, gas exchange, and temperature management.

• Explored methods for integrating biosensors and imaging devices to automate data collection.

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IHI Corporation | Aug 2019 – Nov 2021
(Side job in Japan)

• Responsible for performance verification through experimental data analysis and numerical simulation.

• Analyzed, assessed, and evaluated data obtained from various experiments.

• Considered and prepared research methods, testing methods, and work procedures.

• Developed AI systems (image analysis, anomaly detection, and time-series analysis).

• Developed mathematical optimization systems.

• Developed machine learning models.

• Prepared and managed internal specifications and company regulations.

• Handled audit responses by the Japan Civil Aviation Bureau of the Ministry of Land, Infrastructure, Transport and Tourism.

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Kawasaki Heavy Industries, Ltd. | Mar 2017 – Jul 2019
(Side job in Japan)

• Analyzed, assessed, and evaluated data obtained from various experiments.

• Considered and prepared research methods, testing methods, and work procedures.

• Developed AI systems (image analysis, anomaly detection, and time-series analysis).

• Developed mathematical optimization systems.

• Promoted DX (digital transformation) in manufacturing sites.

• Developed machine learning models.

• Prepared and managed internal specifications and company regulations.

• Produced technical drawings using CATIA V5.

• Handled audit responses by the Japan Civil Aviation Bureau of the Ministry of Land, Infrastructure, Transport and Tourism.

• Studied specifications and performed mechanical design for jigs and tools used in testing.

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JICA Japan Overseas Cooperation Volunteers – Short-Term Assignment to Vietnam | Aug 2016 – Feb 2017

• Taught machining, technical drawing, welding, and processing through classes and practical training.

• Instructed local technicians and students in maintenance and repair methods for machine tools and related equipment.

• Created and improved teaching materials and training programs suited to local educational standards and facilities.

• Provided instruction on machine maintenance and safe operation.

• Conducted training for local teachers and staff to help them become self-sufficient in education and equipment maintenance.

• Worked on improving production efficiency, introducing repair techniques, and enhancing safety management.

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