Fujiwara Fuki
Field x Information Science
to explore the sustainable society
hidden in the diversity of agroecosystems.
Using information science approaches, such as network analysis and causal search, we analyze data from the field as it is, to explore the phenomena and mechanisms occurring in the complex system that is agroecosystems.
I believe that by unraveling the diverse functions hidden within the agroecosystem, we can find a way to create a sustainable agriculture and society in which humans and the ecosystem are in harmony.
Fuki Fujiwara
- Born in Suginami-ku, Tokyo, Japan, in 1997, I entered the Natural Science (Ⅱ) at the University of Tokyo in 2016 to study and research agriculture, and proceeded to the Faculty of Agriculture, the Graduate School of Agricultural and Life Sciences. Currently, I am a member of the doctoral program at the same university, and also a member of the Plant-Microbe Symbiosis Research and Development Team at the RIKEN BioResource Research Center.
Specialty
- ・Agroecology
- ・Soil science (soil ecology)
- ・Network anakysis
- ・Causal inference, causal discovery
- ・Machine learning
- ・Measurment of GHG gasses emission from soil
Skills and Hobbies
- ・Design
- （web design using network graph
- ・Gardening
- ・Indor greens・succulent plants・flowers
- ・Mountain climbing
- ・Japanese harp (koto)
My favorites
- ・Favorite plant: violet, spring ephemerals
- ・Favorite amimals: earthworm, bumblebee, jumping spider
- ・Favorite（for eating）: brocolli
- ・Favorite（for growing）: onion, eggplant
- ・Favorite meal: Japanese fried chicken
- ・Favorite sport: Mountain climbing, soccer
- ・Favorite anime: Fullmetal alchemist, My Hero Academia, Funeral freelance, Made in Abyss etc.
Works
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Time course transcriptomic profiling suggests Crp/Fnr transcriptional regulation of nosZ gene in a N2O-reducing thermophile.
iScience 27(11), 111074
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Soil volatilomics uncovers tight linkage between soybean presence and soil omics profiles in agricultural fields.
Scientific Reports 14, 20541
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Agroecosystem engineering extended from plant-microbe interactions revealed by multi-omics data.
Bioscience, Biotechnology, and Biochemistry, 87(1), 21-27
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Chemical-mediated microbial interactions can reduce the effectiveness of time-series-based inference of ecological interaction networks.
International Journal of Environmental Research and Public Health, 19(3), 1228
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農業デジタルツインによるGX
アグリバイオ 2024年1月号
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第14章 マルチオミクスを用いたバイオスティミュラントの研究開発
バイオスティミュラントの開発動向と展望（日本バイオスティミュラント協議会監修）(シーエムシー出版) 2024年10月
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Soybean yield prediction using hybrid model approach.
The International Symposium on One Health by Sustainable Bio-ecosystem（Tokyo）
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Reducing N2O emissions in agricultural soil by incorporating three types of biochar into cattle manure-based fertilizers.
Centennial Celebration and Congress of the International Union of Soil Sciences (IUSS) 2024（フィレンツェ、イタリア）
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Prediction of soil information using 16S rRNA and machine learning in Japanese agricultural fields.
Centennial Celebration and Congress of the International Union of Soil Sciences (IUSS) 2024（フィレンツェ、イタリア）
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Exploratory Causal Analysis in Agroecosystem using Field Omics Data.
Tukuba Conference 2023（Tsukuba）招待講演
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農業生態系のマルチオミクス解析による生育と品質のトレードオフの解消
第64回日本植物生理学会年会（仙台）口頭発表
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Field multi-omics analysis using causal discovery method reveals agroecological interactions that improve vegetable yield and quality.
International Horticultural Congress 2022 (アンジェ、フランス）ポスター発表
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| 藤原風輝. つくばちびっ子博士2023『土の中の小さな生き物たちの世界をのぞいてみよう』2023年8月10日 |
| 藤原風輝. 鶴岡市農林水産部農政課主催『有機農業一般公開講座 「有機」の土壌肥料、病害虫対策』2022年11月18日 |
| 藤原風輝. 鶴岡市農林水産部農政課主催『有機農業一般公開講座 農薬使用削減に向けた栽培技術と近年の研究事例』2021年12月9日 |
Education & Experience
| 2020/03 | Bachelor of Agronomy The University of Tokyo |
| 2022/03 | Master of Agronomy The University of Tokyo |
| 2022/04〜 | Doctoral course, The University of Tokyo |
| 2022/04〜 | Junior Research Associate (JRA), RIKEN |
| 2023/08〜 | Technical trainee, National Agriculture and Food Research Organization |
Contact
Sending mail from here