BIO
I’m a fifth year Ph.D student in the Globus labs advised by Dr. Ian Foster, at The University of Chicago, Department of Computer Science. I received B.S. and M.S. degree in Meteorology from University of Tsukuba, Japan and M.S degree in Computer Science from The University of Chicago, USA. See [CV] for my full resume.
My research interests focus in the area of data science; application of deep learning, machine learning, high performance computing, large-scale data science, and cloud physics. In particular, I have studied topics in unsupervised and semi-supervised deep learning applications towards a variety of natural science fields, including meteorology, remote sensing, and bioinformatics.
Upcoming or recent activities
- Oct. 11, 2022: FDL Digital Twin abstract is accepted by AGU Fall meeting 2022 as a poster presentations: H45L-1534 - Physics-informed surrogate modeling for supporting climate resilience at groundwater contamination sites
- Oct. 11, 2022: Our cloud abstracs are accepted by AGU Fall meeting 2022 as Oral presentations: GC16C-06 - Global-scale unsupervised cloud classification to construct a novel AI-driven Cloud Classification Atlas (AICCA) and A55N-1294 - Estimating the Impact of Large-scale Natural Aerosol Injections on Marine Cloud Populations with Unsupervised Classification in MODIS Images
- Aug, 12, 2022: Our FDL work is presented in FDL 2022 Live showcase.
- June, 13, 2022: I joined the Frontier Development Lab as a summer internship researcher! I work with “Digital Twin: Environmental Remediation” team to develop climate-groundwater digital twin application.
- December, 15, 2021: I presented a poster in AGU Fall meeting 2021. Link to my poster [AGU21]
- I’m back to Chicago from the summer internship in the Woven Planet Holdings at Tokyo!
- October, 10, 2021: Our abstract Cloud Clustering Applied to MODIS Calibrated Radiances Over 2003 via Rotationally Invariant Autoencoder is accepted by AGU2021.
- September, 23, 2021: I presented a poster in IEEE 17th International Conference on eScience.
- July, 27, 2021: Our Rotation-Invariance Cloud Clustering is accepted by IEEE Transactions on Geoscience and Remote Sensing.