Skip to Main Content

Tsung-Ting Kuo, PhD

he/him/his
DownloadHi-Res Photo

About

Faculty of Biomedical Informatics & Data Science and of Surgery

Titles

Associate Professor on Term of Biomedical Informatics and Data Science

Biography

Kuo is a faculty member of biomedical informatics and data science and of surgery at Yale School of Medicine. He earned his PhD from National Taiwan University (NTU) in the Institute of Networking and Multimedia.

Kuo was previously assistant professor of medicine at University of California San Diego (UCSD) Health's Department of Biomedical Informatics (DBMI). Prior to becoming a faculty member, he was a Postdoctoral Scholar at UCSD DBMI and received the UCSD Chancellor’s Outstanding Postdoctoral Scholar Award. He was a major contributor towards the UCSD DBMI team winning the Office of the National Coordinator for Health Information Technology (ONC) healthcare blockchain challenge, and also the NTU team winning the Association for Computing Machinery (ACM) Knowledge Discovery and Data Mining (KDD) Cup competition four times.

Kuo was awarded a NIH R01 Research Project Grant, a K99/R00 Pathway to Independence Award with an Administrative Supplement, a R13 Support for Conferences and Scientific Meetings Grant, as well as UCSD Academic Senate Health Science Research Grants, for blockchain-based and predictive biomedical, healthcare and genomic studies. His research focuses on blockchain-based predictive modeling, blockchain technologies, and machine learning.

Appointments

Other Departments & Organizations

Education & Training

Postdoctoral Scholar
University of California San Diego (2019)
PhD
National Taiwan University, Institute of Networking and Multimedia (2014)
MS
National Chao Tung University, Computer and Information Science (2003)
BS
National Cheng Kung University, Computer Science and Information Engineering (2001)

Research

Overview

Our research focused on biomedical blockchain that can advance research by data sharing. Currently, state-of-the-art data sharing and analysis frameworks across multiple healthcare systems are mostly still centralized. This centralization carries several risks at the central server, such as single-point-of-failure and data mutability. To improve the security and robustness of data sharing/analysis frameworks, we focus on designing and implementing advanced methods on decentralized blockchain networks. Blockchain is a distributed ledger/database technology adopted by Bitcoin and other cryptocurrencies. We aim at developing novel approaches that can enhance the security and robustness of data sharing/analysis from multiple medical institutions through a distributed system.

Medical Subject Headings (MeSH)

Artificial Intelligence; Blockchain; Genetic Privacy; Natural Language Processing; Privacy

Research at a Glance

Publications Timeline

A big-picture view of Tsung-Ting Kuo's research output by year.

Publications

Featured Publications

2024

2023

Academic Achievements & Community Involvement

  • honor

    Academic Senate Health Science Travel Award

  • honor

    Academic Senate Health Science Travel Award

  • honor

    Faculty of the Year

  • honor

    Academic Senate Health Science Travel Award

  • honor

    Chancellor’s Outstanding Postdoctoral Scholar Award

Get In Touch