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Graduating School 【 display / non-display 】
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The University of Tokyo, Faculty of Science, Undergraduate Program for Bioinformatics and Systems Biology, 2018.03, Graduated
Graduate School 【 display / non-display 】
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The University of Tokyo, Master's Course, 2020.03, Completed
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University of Toronto, Doctor's Course, 2024.06, Completed
Degree 【 display / non-display 】
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Doctor of Philosophy, University of Toronto
Campus Career 【 display / non-display 】
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2024.07-NowTokyo Medical and Dental University, Medical Research Institute, Division of Biological Data Science, -, Assistant Professor
Published Papers & Misc 【 display / non-display 】
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Gary Tom, Stefan P. Schmid, Sterling G. Baird, Yang Cao, Kourosh Darvish, Han Hao, Stanley Lo, Pablo-García S., Ella M. Rajaonson, Marta Skreta, Naruki Yoshikawa, Samantha Corapi, Gun Deniz Akkoc, Felix Strieth-Kalthoff, Martin Seifrid, Alán Aspuru-Guzik. Self-Driving Laboratories for Chemistry and Materials Science Chemical Reviews. 2024.08; ( DOI )
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Rama El-khawaldeh, Abhijoy Mandal, Naruki Yoshikawa, Wenyu Zhang, Ryan Corkery, Paloma Prieto, Alán Aspuru-Guzik, Kourosh Darvish, Jason E. Hein. From eyes to cameras: Computer vision for high-throughput liquid-liquid separation Device. 2024.07; 2 (7): 100404. ( DOI )
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Martin Seifrid, Felix Strieth-Kalthoff, Mohammad Haddadnia, Tony C. Wu, Emre Alca, Leticia Bodo, Sebastian Arellano-Rubach, Naruki Yoshikawa, Marta Skreta, Rachel Keunen, Alán Aspuru-Guzik. Chemspyd: an open-source python interface for Chemspeed robotic chemistry and materials platforms Digital Discovery. 2024.05; 3 (7): 1319-1326. ( DOI )
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Naruki Yoshikawa, Kourosh Darvish, Mohammad Ghazi Vakili, Animesh Garg, Alán Aspuru-Guzik. Digital pipette: open hardware for liquid transfer in self-driving laboratories Digital Discovery. 2023.10; 2 (6): 1745-1751. ( DOI )
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Naruki Yoshikawa, Marta Skreta, Kourosh Darvish, Sebastian Arellano-Rubach, Zhi Ji, Lasse Bjørn Kristensen, Andrew Zou Li, Yuchi Zhao, Haoping Xu, Artur Kuramshin, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg. Large language models for chemistry robotics Autonomous Robots. 2023.10; 47 (8): 1057-1086. ( DOI )
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Naruki Yoshikawa, Masato Sumita. Automatic Differentiation for the Direct Minimization Approach to the Hartree–Fock Method The Journal of Physical Chemistry A. 2022.11; 126 (45): 8487-8493. ( DOI )
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Naruki Yoshikawa, Ryuichi Kubo, Kazuki Z. Yamamoto. Twitter integration of chemistry software tools Journal of Cheminformatics. 2021.07; 13 (1): 46. ( DOI )
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AkshatKumar Nigam, Robert Pollice, Matthew F. D. Hurley, Riley J. Hickman, Matteo Aldeghi, Naruki Yoshikawa, Seyone Chithrananda, Vincent A. Voelz, Alán Aspuru-Guzik. Assigning confidence to molecular property prediction Expert Opinion on Drug Discovery. 2021.06; 16 (9): 1009-1023. ( DOI )
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Masato Sumita, Naruki Yoshikawa. Augmented Lagrangian method for spin‐coupled wave function International Journal of Quantum Chemistry. 2021.05; 121 (18): e26746. ( DOI )
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Naruki Yoshikawa, Geoffrey R. Hutchison. Fast, efficient fragment-based coordinate generation for Open Babel Journal of Cheminformatics. 2019.08; 11 (1): 49. ( DOI )
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Naruki Yoshikawa, Kei Terayama, Masato Sumita, Teruki Homma, Kenta Oono, Koji Tsuda. Population-based de novo molecule generation, using grammatical evolution Chemistry Letters. 2018.10; 47 (11): 1431-1434. ( DOI )
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Anish M S Shrestha, Naruki Yoshikawa, Kiyoshi Asai. Combining probabilistic alignments with read pair information improves accuracy of split-alignments Bioinformatics. 2018.05; 34 (21): 3631-3637. ( DOI )
Social Contribution 【 display / non-display 】
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CS researchers design `CLAIRify' framework to improve chemistry robotics planning,Department of Computer Science, University of Toronto,2023.08.01
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Bots bring chemistry research tools to Twitter,Chemistry World,2021.04.29