I am a customer engineer @Scale AI and PhD candidate @Kyoto University. I am also very passionate about medical informatics and hope that my research will help to achieve more accurate, efficient and cost-effective diagnosis and decision making.
SAP - Tokyo, Japan 10, 2025 - present
- Build AI components for the existing services
- Development of new products
Scale AI - Tokyo, Japan 9, 2022 - 9,2025
- provide technical support for local customer in Japanese
- solutions for optimizing platform tools
Toshiba - Kanagawa, Japan
4, 2022 - 10, 2023
- Focus on the practical problems in the manufacturing and infrastructure environment.
- Deploying and adjusting SOTA models on consignment projects.
Hikvision - Hangzhou, China
4, 2019 - 9, 2019
- I proposed an algorithm for active learning. Results were presented at a conference.
- I implemented the then-current deep learning model CornerNet and tested it on the company's product development dataset.
HY Medical Tech - Beijing, China
4, 2018 - 7, 2018
- I participated in the development of an automated medical examination platform.
- Two papers were published according to my algorithm.
Kyoto University - Kyoto, Japan
10, 2019 - 3, 2026
Harbin Institute of Technology - Harbin, China
9, 2017 - 7, 2019
Harbin Institute of Technology - Harbin, China
9, 2013 - 7, 2017
- Programming Language：python, C++, Javascript
- Data analytics: SQL, pyTorch, scikit-learn, pandas, numpy
- Theories: machine learning, deep learning, image processing, NLP
12, 2021 - 5, 2022
- Code of "Fear of Infection and Sufficient Vaccine Reservation Information Might Drive Rapid Coronavirus Disease 2019 Vaccination in Japan: Evidence from Twitter Analysis"
- Link to the project repository
4, 2017 - 4, 2018
- Code of "Orienet: A regression system for latent fingerprint orientation field extraction"
- Link to the project repository
- English (business level)
- Japanese (business level)
- Chinese (native)
- Time series
- Medical informatics
- Semi-supervised learning