Curriculum Vitae
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Education
Education
Apr. 2022 - Mar. 2026
Apr. 2022 - Mar. 2026
Ph.D. in Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Japan (Lab. of Biometry and Bioinformatics)
Apr. 2025 - Jul. 2025
Apr. 2025 - Jul. 2025
Visiting researcher at UMR 7245 Molécules de Communication et Adaptation des Microorganismes (MCAM), Muséum National d’Histoire Naturelle (MNHN), Centre National de la Recherche Scientifique (CNRS), Paris, France
Feb. 2023 - Oct. 2024
Ph.D. joint program (exchange student) at UMR Mathématiques et Informatique Appliquées (MIA-Paris-Saclay), AgroParisTech, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Paris-Saclay, France
Apr. 2020 - Mar. 2022
M.S. in Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Japan (Lab. of Plant Breeding and Genetics)
Apr. 2016 - Mar. 2020
B.S. in Applied Biology, Faculty of Agriculture, The University of Tokyo, Japan
Employment
Employment
Nov. 2025 - Mar. 2026
Nov. 2025 - Mar. 2026
Research Assistant at Graduate School of Agricultural and Life Sciences, The University of Tokyo
Apr. 2022 - Oct. 2022
Support Engineer at Microsoft Japan (Permanent)
Grants / Awards
Grants / Awards
Nov. 2023 - Oct. 2024
Grants from BGF (Bourses du Gouvernement Français; French Government Scholarship)
Apr. 2023 - Mar. 2025
Grants from JSPS (Japan Society for the Promotion of Science) DC2
Mar. 2022
Awarded as "An Excellent Student" by JASSO Scholarship Organization
Apr. 2020 - Mar. 2022
Grants from JASSO Scholarship
Publications
Publications
Yoshioka H, Mary-Huard T, Aubert J, Toda Y, Ohmori Y, Yamasaki Y, Tsujimoto H, Takahashi H, Nakazono M, Takanashi H, Fujiwara T, Tsuda M, Kaga A, Fuji Y, Hirai MY, Nose Y, Kumaishi K, Usui E, Kobori S, Sato T, Narukawa M, Ichihashi Y, and Iwata H (2026). Integration of Proxy Intermediate Omics Traits in a Nonlinear Two-Step Model for Accurate Phenotype Prediction. Theor Appl Genet 139, 86. doi: https://doi.org/10.1007/s00122-026-05171-3
Yoshioka H, Mary-Huard T, Aubert J, Toda Y, Ohmori Y, Yamasaki Y, Tsujimoto H, Takahashi H, Nakazono M, Takanashi H, Fujiwara T, Tsuda M, Kaga A, Fuji Y, Hirai MY, Nose Y, Kumaishi K, Usui E, Kobori S, Sato T, Narukawa M, Ichihashi Y, and Iwata H (2026). Integration of Proxy Intermediate Omics Traits in a Nonlinear Two-Step Model for Accurate Phenotype Prediction. Theor Appl Genet 139, 86. doi: https://doi.org/10.1007/s00122-026-05171-3
Yoshioka H, Morota G, and Iwata H (2026). Reciprocal BLUP: A Predictability-Guided Multi-Omics Framework for Plant Phenotype Prediction. Plants 2026, 15(1), 17 doi: 10.3390/plants15010017
Yoshioka H, Morota G, and Iwata H (2026). Reciprocal BLUP: A Predictability-Guided Multi-Omics Framework for Plant Phenotype Prediction. Plants 2026, 15(1), 17 doi: 10.3390/plants15010017
Yoshioka H, Kimura K, Ogo Y, Ohtsuki N, Nishizawa-Yokoi A, Itoh H, Toki S, and Izawa T (2021) Real-Time Monitoring of Key Gene Products Involved in Rice Photoperiodic Flowering. Front. Plant Sci. 12:766450. doi: 10.3389/fpls.2021.766450
Yoshioka H, Kimura K, Ogo Y, Ohtsuki N, Nishizawa-Yokoi A, Itoh H, Toki S, and Izawa T (2021) Real-Time Monitoring of Key Gene Products Involved in Rice Photoperiodic Flowering. Front. Plant Sci. 12:766450. doi: 10.3389/fpls.2021.766450
Yoshioka H, Aubert J, and Mary-Huard T (2025). rrda: Ridge Redundancy Analysis for High-Dimensional Omics Data. doi:10.32614/CRAN.package.rrda (CRAN R Package)
Yoshioka H, Aubert J, and Mary-Huard T (2025). rrda: Ridge Redundancy Analysis for High-Dimensional Omics Data. doi:10.32614/CRAN.package.rrda (CRAN R Package)
<Under Review>
<Under Review>
Yoshioka H, Debeljak P, Prado S, and Iwata H (2025). Interpretable Machine Learning on Soybean Multi Omics Data Reveals Drought-Driven Shifts of Plant-Microbe Interactions. doi: https://doi.org/10.1101/2025.08.13.670005 (bioRxiv)
Yoshioka H, Debeljak P, Prado S, and Iwata H (2025). Interpretable Machine Learning on Soybean Multi Omics Data Reveals Drought-Driven Shifts of Plant-Microbe Interactions. doi: https://doi.org/10.1101/2025.08.13.670005 (bioRxiv)
Yoshioka H, Aubert J, Iwata H, and Mary-Huard T (2025). Ridge Redundancy Analysis for High-Dimensional Omics Data. doi:10.1101/2025.04.16.649138 (bioRxiv)
Yoshioka H, Aubert J, Iwata H, and Mary-Huard T (2025). Ridge Redundancy Analysis for High-Dimensional Omics Data. doi:10.1101/2025.04.16.649138 (bioRxiv)
Presentations
Presentations
Yoshioka H, Mary-Huard T, Aubert J, and Iwata H (2024) “A Machine Learning Approach to Improve Yield Prediction Model with Multi-omics Data" The 55th Journées de Statistique de la SFdS, France.
Yoshioka H, Mary-Huard T, Aubert J, and Iwata H (2024) “A Machine Learning Approach to Improve Yield Prediction Model with Multi-omics Data" The 55th Journées de Statistique de la SFdS, France.
Yoshioka H and Iwata H (2022) “Modeling of plant-microbe interactions using multi-omics data" The 142nd Japanese Society of Breeding Meeting, Japan.
Yoshioka H and Iwata H (2022) “Modeling of plant-microbe interactions using multi-omics data" The 142nd Japanese Society of Breeding Meeting, Japan.
Yoshioka H and Izawa T. (2022) “Development of in vivo monitoring system for proteins regulating photoperiodic flowering with Deep Learning.” Selection Symposium, John Innes Centre, UK.
Yoshioka H and Izawa T. (2022) “Development of in vivo monitoring system for proteins regulating photoperiodic flowering with Deep Learning.” Selection Symposium, John Innes Centre, UK.
Yoshioka H and Izawa T. (2022) “Development of in vivo monitoring system for proteins regulating photoperiodic flowering with Deep Learning.” Selection Symposium, Max Planck MPIPZ, Germany.
Yoshioka H and Izawa T. (2022) “Development of in vivo monitoring system for proteins regulating photoperiodic flowering with Deep Learning.” Selection Symposium, Max Planck MPIPZ, Germany.
Membership
Membership
Japanese Society of Breeding. 2022 – Present
Japanese Society of Breeding. 2022 – Present
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