Dr. Tsung-Ting Kuo is an Assistant Professor of Medicine in University of California San Diego (UCSD) Health Department of Biomedical Informatics (DBMI). He is mainly conducting biomedical, healthcare and genomic studies based on blockchain and predictive modeling. His research focuses on blockchain technologies, machine learning, and natural language processing.
Privacy Technology, Data Sharing, and Big Data Analytics
Methods for disclosure control in disseminated data.
My main area of research is computational learning theory and the related areas in probability theory, information theory, statistics and pattern recognition. I work on applications of machine learning algorithms in big data, computer vision, human computer interaction and online education.
If you are a masters or undergrad student and you are interested in doing a project in data analysis, please consult the Matchpoint Page.
If you are interested in applying to be a PhD student, I am looking for students with a strong background in math/physics/signal processing/statistics that are interested in big data analysis and in programming. Please email me the list of relevant courses and your grades in them. If you have completed an original data analysis project, send me the link to the github repository. In the title to the email write "application for a data science PhD."