Ariel Deardorff
Ariel is the Director of Data Science and Open Scholarship. Contact Ariel for help with data sharing, data management, reproducibility, and open science.

Welcome Yea-Hung Chen, Data Science Instructor

Yea-Hung Chen

The UCSF Library is delighted to welcome Yea-Hung Chen to the Data Science and Open Scholarship team as a data science instructor. Yea-Hung holds a bachelor’s in psychology and statistics from the University of California, Berkeley, a master’s in biostatistics from the University of Washington, and a PhD in epidemiology and translational science from the University of California, San Francisco.  Yea-Hung joins the UCSF Library after working at UCSF since 2019. He was an analyst IV with UCSF’s Institute for Global Health Sciences (IGHS) and UCSF’s Department of Epidemiology and Biostatistics. Most recently he worked for UCSF’s Center for Vulnerable Populations. His background in instruction includes teaching the Introduction to Biostatistics course for five years to global health master’s students. Furthermore, he designed and taught an introductory course on R, a programming language for statistical computing and data visualization, for the Department of Epidemiology and Biostatistics. Prior to his role as an analyst IV, Yea-Hung worked for San Francisco’s Department of Public Health as an epidemiologist I from 2008 through 2019.

More about Yea-Hung

In his role as data science instructor, Yea-Hung is responsible for designing and teaching workshops and training sessions on topics such as R programming, statistics, and generative AI. He also provides 1:1 consultation to UCSF learners, faculty, and staff to help them troubleshoot data science questions and connect them with campus resources. Yea-Hung will also be promoting data science education and building community across campus and the data science community.  

In addition to his training responsibilities, Yea-Hung will serve on UCSF and UC-wide committees to represent the Library’s vision of inclusive data science. He will contribute to data science-related task forces to support campus initiatives and projects, for example, creating training and guidance around the use of generative AI. He will also work with library colleagues in other units to expand knowledge and provide support for data-intensive collaborations. 

Finally, Yea-Hung looks forward to investigating new technologies and platforms that can benefit the UCSF community and piloting new approaches and tools within the Library and partners across campus.