- Software Engineer at Techouse, Inc. 2022/09 ~
- Master of Engineering (the University of Tokyo 2022 ~ 2024)
- Bachelor of Engineering (the University of Tokyo 2018 ~ 2022)
Ruby, Ruby on Rails, Python3, Machine Learning
I used to major in material simulation&informatics
- Molecular dynamics & Deep Learning (Master)
- Microscophic image analysis (Bachelor)
- Prediction of potential energy profiles of molecular dynamic simulation by graph convolutional networks. Kota Noda, Yasushi Shibuta. Computational Materials Science. 229:112448, 2023.
- Predicting long-term trends in physical properties from short-term molecular dynamics simulations using long short-term memory. Kota Noda, Yasushi Shibuta. J Phys Condens Matter. 36:385902, 2024.
- 卒業論文 : 画像解析と深層学習に基づく水性塗料成膜・硬化機構解明
- 修士論文 : 深層学習による分⼦動⼒学の物理量時間発展モデル
- 深層⽣成モデルによる多結晶原⼦構造の特徴量抽出および復元 日本金属学会2022年秋期(第171回)講演大会 Kohei Sase, Kota Noda, Yasushi Shibuta
- グラフニューラルネットワークを使用した深層学習モデルによる分子動力学シミュレーションの物理量予測 日本金属学会2023年秋期(第173回)講演大会 Kota Noda, Yasushi Shibuta
- High-precision prediction of physical properties of molecular dynamic simulation using graph neural networks PRICM11 Kota Noda, Yasushi Shibuta
Kaggle Competition Expert
- BirdCLEF 2022 50 of 807 teams 🥈(solo)
- American Express - Default Prediction 242 of 4875 teams 🥈
- Santa 2020 - The Candy Cane Contest 80 of 788 teams 🥉(solo)
- Algorithm: highest 970
- Heuristic: highest 414
- atnacup#13 4 of 127 teams




