Hood College Computer Science Faculty Participates in Berkeley Lab Research

Xinlian Liu, Ph.D, Faculty in Computer Science at Hood College

Xinlian Liu, Ph.D., Computer Science, recently participated in a Berkeley Lab research project involving A.I. to determine veterans' suicide risk.

Featuring Xinlian Liu, Ph.D., Computer Science

Program

  • Computer Science (M.S.)

Department

  • Computer Science & Information Technology

Researchers in the Computational Research Division (CRD) at Lawrence Berkeley National Laboratory (Berkeley Lab) are applying deep learning and analytics to electronic health record (EHR) data to help the Veterans Administration (VA) address a host of medical and psychological challenges affecting many of the nation’s 700,000 military veterans. This research project involved eight national labs of the Department of Education (DOE), as well as multiple VA medical centers across the nation.

Xinlian Lui, Ph.D., Program Director of Hood College's Computer Science M.S. program, was part of this research team which was among the first to develop artificial intelligence (A.I.) methods to study electronic health records with a goal to prevent veterans suicide.  Xinlian Lui, P.h.D, taught a Data Science class at Hood College during the fall 2018 term, and developed a Deep Learning special topic class which he is teaching this spring based on experiences learned from the Berkeley project. He took a team of Hood undergraduate students to the Berkeley Lab in the summer of 2017. One of these students, Rafael Zamora-Resendiz, stayed on at the Lab as a staff member in the Division of Computational Research. Another student, Tom Corcoran, accepted a position at Johns Hopkins University's APL conducting classified A.I. research.  

For more information about the Berkeley Lab A.I. research project, click here.

Inspired to #GOFURTHER and boost your career opportunities, learn about Hood College's Computer Science Master's program by clicking here.