Yuichiro Iwashita

Yuichiro Iwashita is a PhD researcher at the German Research Center for AI (DFKI) and the University of Kaiserslautern-Landau (RPTU). He has been working on research related to medical AI, particularly multimodal data, multi-omics integration, and time series analysis. Before involved in medical AI, he worked on augmenting human intelligence within HCI field.

Keywords: Medical x AI, Multimodal, Multi-omics, Time Series, Survival Analysis, Human-Centered AI, Human-Computer Interaction (HCI), EdTech, Cognitive Science, Nudging Strategies, Intelligence Augumentation, Large Language Models, etc.

Yuichiro Iwashita

Education

2025.04-PresentDoctoral Visiting Student, University of Kaiserslautern-Landau (RPTU)
2023.04-2025.03Master of Informatics, Osaka Metropolitan University (OMU) (formerly OPU)
2023.10-2024.09Visiting Student, University of Kaiserslautern-Landau (RPTU)
2021.04-2023.03Bachelor of Engineering, Osaka Prefecture University (OPU)

Work Experiences

2025.05-PresentVisiting Researcher, DFKI Lab Japan, Osaka Metropolitan University (OMU)
2025.04-PresentPhD Researcher, German Research Center for Artificial Intelligence (DFKI GmbH)
2024.02-PresentSoftware Engineer, Affectify Inc.
2021.09-2025.03Server Administrator, Intelligence Media Processing Research Group
2023.09-2024.09Internship, German Research Center for Artificial Intelligence (DFKI GmbH)
2023.09-2023.09Internship, Rakuten Group, Inc.
2023.08-2023.09Internship, freee K.K.
2023.03-2023.03Internship, German Research Center for Artificial Intelligence (DFKI GmbH)

Publications

Journal Papers

  • David Selby*, Yuichiro Iwashita*, Kai Spriestersbach*, Mohammad Saad, Dennis Bappert, Archana Warrier, Sumantrak Mukherjee, Koichi Kise, Sebastian Vollmer. Had enough of experts? Quantitative knowledge retrieval from large language models. Stat, 14, pp.e70054, 2025. (* equal contributions) (PDF) (BibTeX) (Link)

International Conference Papers

  • David Selby*, Kai Spriestersbach*, Yuichiro Iwashita*, Dennis Bappert, Archana Warrier, Sumantrak Mukherjee, Sergey Redyuk, Muhammad Nabeel Asim, Koichi Kise, Sebastian Vollmer. Had enough of experts? Elicitation and evaluation of Bayesian priors from large language models. In NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty, 2024. (* equal contributions) (PDF) (BibTeX) (Link)
  • Yuichiro Iwashita, Ryuki Kurashige, Andrew Vargo, Benjamin Tag, Tilman Dingler, Motoi Iwata, Koichi Kise. Peer-Awareness to Support Learning: An In-the-wild Study on Notification Timing. In Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pervasive and Ubiquitous Computing (UbiComp Companion '24), ACM, 2024. (PDF) (BibTeX) (Link)
  • Yuichiro Iwashita, Andrew Vargo, Motoi Iwata, Koichi Kise. Personalizing Augmented Flashcards Towards Long-Term Vocabulary Learning. In Proceedings of the Augmented Humans International Conference (AHs 2024), ACM, 2024. (PDF) (BibTeX) (Link)

Domestic Conference Papers

  • 大塚 遙, 岩田 基, 岩下 雄一郎, 黄瀬 浩一. 生成 AI で画像を作りながら学べる英単語学習システム. インタラクション2025論文集, 情報処理学会, 2025. (PDF) (BibTeX) (Link)
  • 劉 少楠, 野々宮 悠太, 岩下 雄一郎, 木村 誠一, 齋藤 美紅, 山崎 桜花, 石丸 翔也, 仲子 聡一郎, 岡村 浩史, 岩村 雅一, 黄瀬 浩一, 新谷 歩. 集中治療室における再入室イベントを予測する機械学習ベースの生存時間解析モデルに時系列データが与える影響. 第43回医療情報学連合大会 (第24回日本医療情報学会学術大会) 論文集, 日本医療情報学会, 2023. (BibTeX) (Link)
  • 野々宮 悠太, 柳 健大, 栗生 薫, 内田 時央, 岩下 雄一郎, 藤原 史規, 山岡 幹太, 石丸 翔也, 仲子 聡一郎, 岡村 浩史, 岩村 雅一, 黄瀬 浩一, 新谷 歩. 集中治療室における短期的な死亡を予測する再帰型ニューラルネットワークを用いた動的予測モデルの提案:MIMIC-IVデータベースを利用した後方視的コホート研究. 第43回医療情報学連合大会 (第24回日本医療情報学会学術大会) 論文集, 日本医療情報学会, 2023. (BibTeX) (Link)
  • 琴浦 陽南, 山本 航平, 堀川 昴輝, 高本 凌平, 野々宮 悠太, 岩下 雄一郎, 栗生 薫, 石丸 翔也, 仲子 聡一郎, 岡村 浩史, 岩村 雅一, 黄瀬 浩一, 新谷 歩. 臨床テーブルデータと胸部X線画像を統合したツリー系機械学習モデルによるCOVID-19患者の予後予測. 第43回医療情報学連合大会 (第24回日本医療情報学会学術大会) 論文集, 日本医療情報学会, 2023. (BibTeX) (Link)
  • 岩下 雄一郎, 岩田 基, Andrew W. Vargo, 黄瀬 浩一. 英単語学習を長期的に継続するための適応型学習システムの開発. 2023年電子情報通信学会総合大会講演論文集, 電子情報通信学会, 2023. (査読なし) (BibTeX) (Link)

Miscellaneous

  • David Selby*, Kai Spriestersbach*, Yuichiro Iwashita*, Dennis Bappert, Archana Warrier, Sumantrak Mukherjee, Sergey Redyuk, Muhammad Nabeel Asim, Koichi Kise, Sebastian Vollmer. Quantitative Knowledge Retrieval from Large Language Models. arXiv preprint arXiv:2402.07770v1 [cs.IR], 2024. (* equal contributions) (PDF) (BibTeX) (Link)

Research Projects

2024.12-PresentFormation of a Japan-Germany Multilayered R&D Network for Medical x AI and its Application to Industry Creation (JST ASPIRE Project)
2022.06-2025.03Formation of a Multilayered R&D Center for Medical x AI (Supported by Osaka Metropolitan University)
2021.09-2024.03Learning Cyclotron (LeCycl) (JST Trilateral AI Project)

External Links