Profile (English)

MAEDA, Iwao

Doctoral Course first year,
Department of Systems Innovation,
School of Engineering,
The University of Tokyo

Cram school teacher, Takagijuku, Sciworks

Interests

  • Bayesian Deep Learning
  • Market microstructure
  • Academic Education, especially in elementary school 

Publications

Paper

  1. I. Maeda, K. Hasegawa, H. Kaneko, and K. Funatsu,“ Novel Method Proposing Chemical Structures with Desirable Profile of Activities Based on Chemical and Protein Spaces ”, Mol. Inform., vol. 36, no. 12, 2017.

Conference

  1. I. Maeda, H. Kaneko, and K. Funatsu,“ Visualization of chemical space and protein space considering compound-protein interaction”, in The 44th Symposium on Structure-Activity Relationship, 2016, pp. 25-28.
  2. I. Maeda, N. Yuge, T. Watanabe, Y. Sugawara, N. Miuchi, "実測値の不確かさを考慮した活性予測モデル構築によるSirtuin1 阻害剤探索" in 4th CADD Contest, 2017
  3. S. Indo, I. Maeda, K. Kitagawa, K. Fujita, T.Shimono, "Deep Quoridor" in Deep Learning Day, 2017

Award

  1. SAR Presentation Award in 44th Symposium on Structure-Activity Relationship, 2016
  2. Student Encouragement Award in 4th CADD Contest, 2017
  3. Poster Award in Deep Learning Day, 2017

Career

2012-2016 Department of Chemical System Engineering, Faculty of Engineering, The University of Tokyo, bachelor's degree.

2016-2018 Department of Chemistry System Engineering, Graduate School of Engineering, The University of Tokyo, master's degree.

2018- Izumi Laboratory, Department of Systems Innovation, Graduate School of Engineering, The University of Tokyo, ph.D.


2014- Cram school teacher, Takagijuku, Sciworks