About Me
I am a PhD student at the Center for Geospatial Analytics at North Carolina State University. My resaerch focuses on using satellite data to forecast floods in ungauged area. I am in the Climate, Hydrology and Water Resources Modeling and Synthesis Group. As one of the fellows of Global Change Research Fellow at Southeast Climate Adaptation Science Center, I am committed to translating research into real-world solutions.
My passion also lies in advancing women in STEM. I co-founded a nonprofit in Japan empowering young women in technology and continue to channel my energy to the area aside of my research career. Currently, I serve as a member at the Diversity and Inclusion Committee at the Japanese Society for Artificial Intelligence to foster gender diversity in AI. (Read more on Women in STEM page!)
Interest
Remote Sensing
Machine Learning
Flood Prediction
Actionable Science
Women in STEM
Education
PhD student in Geospatial Analytics, North Carolina State University (2024 - )
MS Applied Econometrics and Data Analytics (2017)
BA Food and Environmental Economics, Kyoto University (2014)
Research
Geospatial Analytics
Coming soon...
Women in STEM
STEM Gender Gap
We study whether having more women in STEM departments increases female high school students’ preference for attending those departments through an incentivized hypothetical choice preference elicitation. https://doi.org/10.1257/rct.12577-1.0
Publications
Geospatial Analytics
Coming soon...
Women in STEM
Conference Paper
特集：2024年度人工知能学会全国大会（第38回）[ポスターセッション総括，JSAI2024企業参加推進担当活動報告，学生企画「マルチモダリティ革命—大規模事前学習済みモデルの新たな視点を探る—」，全国大会 2024女性向けランチ交流会］, 人工知能, 2024, 39 巻, 6 号, p. 925-929, 公開日 2024/11/01, Online ISSN 2435-8614, Print ISSN 2188-2266, https://doi.org/10.11517/jjsai.39.6_925, https://www.jstage.jst.go.jp/article/jjsai/39/6/39_925/_article/-char/ja
Oda, M., Saito, A., Maitoko, M., Noborimoto, Y., and Horita, T. (2023) Preliminary Study on the Motivation of Female College Students for Programming. Research report of JET Conferences, JSET2023-2-C14 https://doi.org/10.15077/jsetstudy.2023.2_267
Book
NPO Waffle. (2023). 「わたし×IT=最強説 女子&ジェンダーマイノリティがITで活躍するための手引書」 (Me x IT = Infinite A guidance for girls and gender minorities to thrive in tech). Little-More. https://littlemore.co.jp/isbn9784898155707