GSFS Faculty

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Ishida Takashi

(Lecturer/Division of Transdisciplinary Sciences)

Department of Complexity Science and Engineering/Machine learning

Career Summary

2013: Graduated from Faculty of Economics (Keio University)
2021: Received Ph.D. in Science (University of Tokyo)
2021-present: Lecturer (University of Tokyo)

Educational Activities

Graduate school: Advanced Data Analysis
Undergraduate school: Statistical Machine Learning, Intelligent Systems, Statistics and Optimization

Research Activities

In our lab, we are working on fundamental research on machine learning algorithms. There are many challenges in machine learning that we work on: How can we generalize better to unseen data? How can we learn from weak supervision? How can we make the algorithm robust? How can we make a general framework that can be applied to different tasks or problems? Through our research, we are aiming to develop practical and reliable machine learning technology.

Future Plan

We are aiming to develop practical and reliable machine learning technology.

Messages to Students

Looking forward to working on challenging machine learning problems with you!

URL

https://takashiishida.github.io