[Japanese]

Hirotaka Suetake

About me

Profile

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Master student (2nd year) at Igarashi Laboratory,
Graduate School of Information Science and Technology,
University of Tokyo, Japan

Hirotaka Suetake

email: suehiro619 (at) gmail.com

CV | Google Scholar

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Research Interest

My current major is HCI, I'm condacting research on "Parameter tuning interface for game design" and "Interaction for Bioinformatics". In my undergraduate years, my major was life science, and I started research on "Reproducibility of genome analysis" and I continue to do. I also work as an engineer at RIKEN AIP. I also work as a freelance engineer, building various infrastructure and systems.

  • Human Computer Interaction
  • Game Design
  • Bioinformatics
  • Reproducibility
  • Software Engineering
  • Infrastructure

Biography

Education

2018.04 - Current:
Department of Creative Informatics,
Graduate School of Information Science and Technology,
The University of Tokyo, Japan
Advisor: Takeo Igarashi
2013.04 - 2018.03:
Department of Bioscience,
School of Bioscience and Biotechnology,
Tokyo Institute of Technology, Japan [B.S.]
Advisor: Masaaki Kotera

Appointments

2019.08 - 2019.09:
Preferred Networks
2019.04:
Game Innovation Laboratory,
Interactive Media & Games Division,
School of Cinematic Arts,
The University of Southern California, USA
Advisor: Andy Nealen

Work Experience

2018.08 – Current:
Information-Technology Promotion Agency(IPA),
Information-Technology Engineers Examination Committee
2018.03 – Current:
Freelance Engineer
2017.12 – Current:
Rhelixa, Inc.,
Information and Communication Technology Dept.
Senior Engineer
2017.09 – Current:
ASCADE, Inc.,
System Solution Div.
Software Engineer
2017.08 - Current:
RIKEN AIP,
Search and Parallel Unit
Research Assistant
Advisor: Kazuki Yoshizoe

Projects

sapporo

SAPPORO: workflow management system that supports continuous testing of workflows

A workflow management execution system based on GA4GH API definition. It can manage and execute workflows written in various workflow languages such as CWL. And, the reproducibility of the workflow is improved by using the concept of CI/CD.

[Link]

Publications

Papers

  1. Hirotaka Suetake, Masaaki Kotera, “KPHMMER: Hidden Markov Model generator for detecting KEGG PATHWAYspecific genes.” (2019). https://doi.org/10.1101/636290 [link]
  2. Masayuki Sato, Hirotaka Suetake, Masaaki Kotera, “KCF-Convoy: efficient Python package to convert KEGG Chemical Function and Substructure fingerprints.” (2018). https://doi.org/10.1101/452383 [link]

Poster / Abstract / Demonstration

  1. Hirotaka Suetake, Tazro Ohta, “SAPPORO: workflow management system that supports continuous testing of workflows.” GCC/BOSC (2019).
  2. Hirotaka Suetake, Tazro Ohta, “SAPPORO: workflow management system that supports continuous testing of workflows.” AMED GA4GH GEM Japan Workshop (2019).
  3. Hirotaka Suetake, Ryo Nakaki, “RyuGoo-Saba: CWL-based platform to enable server-less and reproducible analysis of big data in life science.” GCC/BOSC (2018). [link]