Xiange (Shirley) Wang
Xiange Wang is a machine learning computer systems engineer at Lawrence Berkeley National Laboratory (LBNL), specifically working within the Applied Computing for Scientific Discovery Group (ACSD). With a strong educational background in mathematics and computer science from the University of Illinois at Urbana-Champaign (UIUC), Xiange developed a profound interest in machine learning, geospatial analysis, and visualization.
Xiange earned her bachelor's degree in mathematics and computer science from the University of Illinois at Urbana-Champaign (Champaign, IL) in 2018. She gained valuable experience through the Sustainable Research Pathways (SRP) program, where she interned under the guidance of Dr. Xinlian Liu from Hood College and Dr. Silvia Crivelli at LBNL. Shortly after, she was offered a research associate position at LBNL, which has since evolved into a full-time staff position, working closely with Dr. Silvia Crivelli.
At LBNL, Xiange is actively collaborating with the Department of Veterans Affairs (VA) on an impactful geospatial analysis project in the field of healthcare. Her primary focus is on leveraging machine learning techniques to develop a powerful hybrid predictive model for Veteran suicide as part of the Million Veterans Program (MVP). This comprehensive model incorporates individual-level and geospatial features, as well as Social Determinants of Health and Environment of Health data.