日本語版

About

• Name: Ken Shirakawa
• Position: Ph.D. student at Kyoto University (Kamitani lab)
  
• Keywords: Brain decoding, Visual image reconstruction, Methodology, fMRI, Deep neural network, Artificial intelligence
  

• Hobbies: Listening to music (Hip hop, Jazz, R&B, and Black music), watching basketball (NBA), Taking Spa, Generative art, Programming
  

• E-mail: shirakawaken0118@gmail.com
  

Education

Kyoto University, Kyoto Japan

• Ph.D. student in Neuroinformatics, Graduate School of Informatics, Kamitani Lab.

• M.E. in Neuroinformatics, Graduate School of Informatics, March 2020
  “動画知覚の脳情報デコーディング”
  Advisor: Professor Yukiyasu Kamitani

• B.E. in Cognitive and Information Sciences, Faculty of Integrated Human Studies, March 2018
  “重み付け結合法を用いた脳情報デコーディング”
  Advisor: Professor Yukiyasu Kamitani

RESEARCH ACHIEVEMENT

• Spurious reconstruction from brain activity
  • Authors: Ken Shirakawa, Yoshihiro Nagano, Misato Tanaka, Shuntaro C. Aoki, Kei Majima, Yusuke Muraki, Yukiyasu Kamitani
  • Year: 2024, May
  • Preprint: ArXiv:2405.10078(https://arxiv.org/abs/2405.10078)
• Critical assessment of generative AI methods and natural image datasets for visual image reconstruction from brain activity
  • Authors: Ken Shirakawa, Misato Tanaka, Shuntaro C. Aoki, Kei Majima, Yukiyasu Kamitani
  • Year: 2023, July
  • OSF project: https://osf.io/nmfc5/

Work experience

• Research Fellowship for Young Scientists (JSPS DC2)
  • Research title: “Developing movie reconstruction from human brain activity.”
  • Period: April 2022 - March 2024
  • Description: I aim to develop a movie reconstruction algorithm from human fMRI activity. I designed data collection, developing several movie reconstruction algorithms and evaluation metrics. I presented the results at various symposiums or oral presentations in Japan.
• Parttime worker at Tier4 company
  • Job description: Developing eyes for autonomous driving
  • Period: September 2020 - March 2024
  • Description: Tier4 is a Japanese deep-tech company that develops open-source autonomous driving software. I joined this company as a part-time job and build a DNN model and learn how to use or implement open-source software (OSS).
• Research intern
  • Research title: “Toward building multi-modal voice conversion model” supported by Dr. Kameoka at NTT Communication Science Laboratories, Kanagawa, Japan
  • Period: August 2018 - September 2018
  • Description: I worked on developing voice conversion methods. I tried to convert speech into a voice that matches an input face image and generates a face image that matches the voice of the input speech by a Deep neural network. My work was just preliminary, but this project was submitted to arXiv (“Crossmodal Voice Conversion” https://arxiv.org/abs/1904.04540)
• Misc
  • pytorch_cnn_preferred
    • Year: 2018
    • A pytorch tool for generating image/video in which a target unit/channel’s activation is high was developed in my master period.
  • Intern job
    • Year: 2016
    • Description: I worked on New business planning at Works Applications Co., Ltd., during summer vacation.

ArtWork

• MisakiB
  • I supported the building of the digital clone of Misaki Abe, a student at Tokyo University of the Arts, by ChatGPT, Whisper, and lipsync model. This artwork was used for her graduation works.
• To Us in the Last Days
  • We created the video generated by having AI (StyleGAN-XL +CLIP) recognize the poem.
  • We got an honorable mention award at The 1st AI Art Grand Prix (March 2023) and collaborated with my colleague.
• Instagram
  • Post images generated by the above tool every day (used to).

Skills

Language

• Japanese: Native
• English: Bussiness
• Spanish: Basic

OS

• Mac: Fluent
• Linux: Familiar
• Windows: Familiar

Programming language

• Python: Fluent
• Matlab: Familiar
• R: Familiar
• HTML, CSS, Javascript: Basic

Engine or framework

• Pytorch: Fluent
• Keras: Familiar
• Chainer: Familiar
• Tensorflow: Basic
• Pycharm: Familiar
• Node.js: Basic
• Express: Basic

Tool

• Git: Fluent
• PostgreSQL: Basic

Coursework

• Machine learning
• Statistics
• Information theory
• Computational Neuroscience
• Cognitive neuroscience

Teaching experience

Teaching assistant in the university:

• 2017.04-2018.01: Teaching assistant of “Neuroinformatics”
• 2018.04-2018.07: Teaching assistant of “Introduction of Statistics”
• 2019.04-2019.07: Teaching assistant of “Introduction of Statistics”
• 2019.04-2020.01: Teaching assistant of “Neuroinformatics”
• 2020.04-2020.07: Teaching assistant of “Introduction of Statistics”
• 2021.04-2021.07: Teaching assistant of “Introduction of Statistics”
• 2021.04-2021.11: Teaching assistant of “Neuroinformatics”

Teaching assistant outside the university:

• 2018.03: Teaching assistant of 脳科学若手の会春の合宿 “脳情報のコーディングとデコーディング”
• 2018.04-2018.08: Private tutor of python and machine learning
• 2021.03.18–19: Teaching assistant of “人を知る人工知能講座: Session8 脳情報学”

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