Lauren Takahashi

Profile Information

Affiliation: Assistant Professor, Hokkaido University

Degree: Doctor of Engineering, Chemical Engineering(Jan, 2020, The University of Tokyo)
Master of Science, Applied IT(Oct, 2011, Gothenburg University)
Bachelor of Art, Linguistics(Dec, 2008, The University of Arizona)

Researcher number: 30865069
ORCID ID: https://orcid.org/0000-0001-9922-8889
J-GLOBAL ID: 201901002390162772
researchmap Member ID: B000365711

External link: https://takahashigroup.github.io/

Research Areas

Research History

Aug, 2023 - Present

Assistant Professor, Faculty of Science Department of Chemistry, Hokkaido University
Apr, 2022 - Jul, 2023

Specially appointed Assistant Professor, Faculty of Science Department of Chemistry, Hokkaido University
Jun, 2019 - Mar, 2022

Research Fellow, Department of Chemistry, Hokkaido University
Jan, 2018 - May, 2019

Research Assistant, Center for Materials research by Information Integration, National Institute for Materials

Education

Jan, 2019 - Jan, 2020

Department of Chemical System Engineering, The Faculty of Engineering, The University of Tokyo
Aug, 2010 - Jun, 2011

Department of Applied IT, Gothenburg University
Aug, 2005 - Dec, 2008

Linguistics, Department of Social & Behavioral Science, University of Arizona

Papers

Development of graphical user interface for design of experiments via Gaussian process regression and its case study

Yoshiki Hasukawa, Mikael Kuwahara, Lauren Takahashi, Keisuke Takahashi

Science and Technology of Advanced Materials: Methods, Dec 31, 2024
Unveiling the relation between multiple chemical products and process conditions for trichloroethylene and perchloroethylene production via catalysis network analysis

Lauren Takahashi, Taku Yamada, Hidekazu Okamoto, Keisuke Takahashi

Catalysis Science & Technology, 2024
Unsupervised Machine Learning and Beyond Machine Learning

Keisuke Takahashi, Lauren Takahashi

2024
Machine Learning

Keisuke Takahashi, Lauren Takahashi

2024
Supervised Machine Learning

Keisuke Takahashi, Lauren Takahashi

2024
Programming

Keisuke Takahashi, Lauren Takahashi

2024
Data Visualization

Keisuke Takahashi, Lauren Takahashi

2024
Programming and Python

Keisuke Takahashi, Lauren Takahashi

2024
Developing an Informatics Work Environment

Keisuke Takahashi, Lauren Takahashi

2024
An Introduction to Materials Informatics and Catalysts Informatics

Keisuke Takahashi, Lauren Takahashi

2024
Materials Informatics and Catalysts Informatics

Keisuke Takahashi, Lauren Takahashi

ACS Symposium Series, 239-246, 2024
Toward the Golden Age of Materials Informatics: Perspective and Opportunities

Keisuke Takahashi, Lauren Takahashi

The Journal of Physical Chemistry Letters, May 25, 2023
Improving scientific image processing accessibility through development of graphical user interfaces for scikit-image

Mikael Kuwahara, Jun Fujima, Keisuke Takahashi, Lauren Takahashi

Digital Discovery, 2023
Catalysts Informatics: Paradigm Shift towards Data-Driven Catalyst Design

Keisuke Takahashi, Junya Ohyama, Shun Nishimura, Lauren Takahashi, Jun Fujima, Takeaki Uno, Toshiaki Taniike

Chemical Communications, 2023
Designing Catalyst Descriptors for Machine Learning in Oxidative Coupling of Methane

Sora Ishioka, Aya Fujiwara, Sunao Nakanowatari, Lauren Takahashi, Toshiaki Taniike, Keisuke Takahashi

ACS Catalysis, Oct 7, 2022
Synthesis of Heterogeneous Catalysts in Catalyst Informatics to Bridge Experiment and High-Throughput Calculation

Keisuke Takahashi, Lauren Takahashi, Son Dinh Le, Takaaki Kinoshita, Shun Nishimura, Junya Ohyama

Journal of the American Chemical Society, Aug 19, 2022
Designing transformer oil immersion cooling servers for machine learning and first principle calculations

Keisuke Takahashi, Itsuki Miyazato, Satoshi Maeda, Lauren Takahashi

PLOS ONE, 17(5) e0266880-e0266880, May 17, 2022
Unveiling the reaction pathways of hydrocarbons via experiments, computations and data science

Lauren Takahashi, Shigehiro Yoshida, Jun Fujima, Hiroshi Oikawa, Keisuke Takahashi

Physical Chemistry Chemical Physics, 2022
The Rise of Catalysts Informatics

Keisuke Takahashi, Lauren Takahashi, Shun Nishimura, Jun Fujima, Junya Ohyama

Crystalline Metal Oxide Catalysts, 349-371, 2022
Catalysis Gene Expression Profiling: Sequencing and Designing Catalysts

Keisuke Takahashi, Jun Fujima, Itsuki Miyazato, Sunao Nakanowatari, Aya Fujiwara, Thanh Nhat Nguyen, Toshiaki Taniike, Lauren Takahashi

The Journal of Physical Chemistry Letters, 12(30) 7335-7341, Aug 5, 2021 Peer-reviewed

Misc.

アイテムセットマイニングを用いたメタン酸化カップリング反応における低温活性を示す触媒組成の探索

木下卓明, 大山順也, 芳田嘉志, 藤間淳, 宮里一旗, 高橋ローレン, 高橋啓介, 宇野毅明, 西村俊, 町田正人

石油・石油化学討論会講演要旨, 50th (Web), 2020

Books and Other Publications

Materials Informatics and Catalysts Informatics: An Introduction

Keisuke Takahashi, Lauren Takahashi

Mar 31, 2024 (ISBN: 981970216X)

Research Projects

Design of heterogeneous catalysis using synthesis and measurement data via non machine learning catalysts informatics

2024 Toyota Riken Scholar, Toyota Physical and Chemical Research Institute (Incorporated Foundation), Apr, 2024

Lauren Takahashi

Profile Information

Research Areas

Research History

Education

Papers

Misc.

Books and Other Publications

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