Tokyo, Japan
I am a Ph.D.-trained bioinformatician and researcher dedicated to bridging the gap between complex biological data, cutting-edge science, and real-world healthcare applications. With a unique dual background in wet-lab and dry-lab environments, I specialize in translating multi-omics data—including spatial transcriptomics, RNA-seq, and microbiome profiles—into actionable insights for precision medicine, diagnostics, and translational research. Throughout my career in both academia and industry, I have focused on scientific excellence, strategic execution, and institutional contribution: -- Advanced R&D & Pipeline Development: Built from the ground up, I have led the end-to-end establishment and scaling of next-generation spatial transcriptomics services, encompassing experimental workflow design, robust bioinformatics pipeline development, and operational implementation. -- Scientific Translation & Collaboration: Highly experienced in driving collaborative research with external partners, clinical investigators, and corporate stakeholders. I excel at translating sophisticated medical/scientific needs into robust analytical solutions and communicating technical complexities to diverse audiences. Academic Foundation & Research Contribution: Earned my Ph.D. in quantitative evolutionary biology and successfully executed key research projects within funded academic labs in the United States. Serving as a core researcher on PI-led initiatives, I mastered advanced behavioral/circadian genomics and developed robust RNA-seq analysis pipelines to drive the lab's scientific goals. Currently, I work at the intersection of microbiome science, multi-omics analytics, and clinical healthcare, leveraging biological data to drive early disease detection and improve patient outcomes. Core Expertise: -- Technologies: Spatial Transcriptomics, Multi-Omics Integration, RNA-seq, Microbiome / Metagenomics Analysis -- Strengths: Wet/Dry Cross-functional Leadership, Scientific Communication, External Partnership & Stakeholder Engagement, 0-to-1 Service Launch, Clinical/Medical Translation -- Research Fields: Circadian Biology, Evolutionary Development, Epigenetic Regulation, Precision Nutrition & Healthcare I am highly motivated to connect with professionals, recruiters, and organizations focused on bioinformatics, clinical R&D, Medical Affairs / MSL roles, and healthcare innovation. Let's discuss how data-driven science can accelerate the next generation of precision medicine.
Overview : Driving microbiome data analysis and research collaborations in an industry setting, focusing on extracting actionable insights from large-scale gut microbiome and lifestyle datasets for healthcare and service development. Key Responsibilities & Achievements : • Analyzed gut microbiome composition (16S rRNA / microbiome profiling) and associated metadata • Conducted research on gut microbiome associations with sleep, mental health, and lifestyle factors • Integrated and curated large-scale datasets (tens of thousands of samples) combining microbiome and lifestyle data • Applied statistical modeling (regression analysis, multivariate analysis) to identify key patterns of microbiome dynamics • Designed and executed data analysis strategies for joint research projects with external institutions (3+ collaborations) • Performed statistical analysis for contract-based microbiome data services • Led client-facing meetings (~4/month), identifying research needs and proposing analytical solutions • Contributed to business development and alliance building through technical consulting and collaboration proposals Key Impact : Unlocked value from large-scale internal datasets by identifying potential microbiome biomarkers associated with sleep and mental health, contributing to research advancement and service development, while strengthening external partnerships and new project creation
Overview : Leading spatial transcriptomics and RNA-seq data analysis services in an industry setting, focusing on building scalable bioinformatics solutions and supporting collaborative research with external partners. Key Responsibilities & Achievements : • Launched spatial transcriptomics (Spatial Transcriptomics) analysis services, including workflow design and implementation • Performed RNA-seq data analysis (10–50 projects/month) for external clients across academia and industry • Built and optimized bioinformatics pipelines for both bulk and spatial transcriptomics data • Collaborated with research institutions to drive joint research projects and technology applications • Conducted technical consulting and client-facing meetings, translating scientific needs into analytical solutions • Selected and implemented wet-lab and dry-lab workflows, including experimental validation and data analysis integration • Coordinated with technology providers to stay updated on protocols, specifications, and best practices • Led lab setup initiatives, including equipment selection and regulatory compliance • Conducted in-house R&D using black soldier fly (Hermetia illucens) as a model organism Key Impact : Successfully established and operationalized a spatial transcriptomics service platform from scratch, enabling high-throughput data analysis and expanding applications to non-standard species through collaborative research
Overview : Conducted interdisciplinary research in circadian biology, and behavioral neuroscience using Drosophila, focusing on time-series gene expression and activity rhythms. Key Responsibilities & Achievements : • Built and optimized RNA-seq (NGS) data analysis pipelines for time-series gene expression studies • Analyzed circadian rhythm and behavioral data (activity patterns) in relation to gene expression dynamics • Developed and standardized bioinformatics workflows using Linux shell scripting and R • Designed and implemented reproducible experimental systems for behavioral assays (activity rhythm) • Created and optimized molecular biology experimental protocols • Conducted statistical analysis and quantitative modeling for time-series biological data • Authored scientific manuscripts, reports, and presentation materials • Presented research at international conferences and symposia • Supervised and trained students and technical staff • Contributed to peer review of scientific manuscripts (4 papers) Key Impact : Established reproducible wet-lab and dry-lab workflows in a newly launched lab, enabling reliable integration of behavioral and transcriptomic data and improving research quality and efficiency
•Overview : Conducted interdisciplinary research in neurodevelopment and behavioral biology using non-model Drosophila species, focusing on behavioral diversity and temperature-dependent neural mechanisms. Key Responsibilities & Achievements : •Conducted research in neurodevelopment, behavioral biology, and functional genomics using non-model Drosophila species •Developed genetic engineering / transgenic models for temperature-dependent neural labeling •Performed RNA-seq (next-generation sequencing) time-series analysis for developmental biology studies •Built and optimized data analysis pipelines for behavioral data (activity, sleep, circadian rhythm, temperature preference) •Applied statistical analysis and quantitative modeling to evaluate environmental and biological variables (light, humidity, temperature, strain, age) •Improved data resolution by implementing individual-level behavioral analysis and data standardization methods •Designed and executed hypothesis-driven experiments, including troubleshooting and reproducibility validation •Managed cross-functional research projects and supervised technical staff •Authored scientific publications, reports, and presented at academic conferences Key Impact : Advanced methodologies for non-model organism research, enabling quantitative analysis of neural development and temperature-dependent behavior, resulting in peer-reviewed publication