Xuya W.
About Xuya W.
Xuya W. is a Principal Scientist at Bristol Myers Squibb, specializing in Informatics & Predictive Sciences. She holds advanced degrees in Biology, Systems & Computational Biomedicine, and Applied Math and Statistics, and has extensive experience in data science and computational biology.
Education and Expertise
Xuya W. obtained a Master of Science (M.S.) in Biology from Baylor University and a Master of Science (M.S.) in Applied Math and Statistics from Stony Brook University. He further advanced his academic credentials with a Doctor of Philosophy (Ph.D.) in Systems & Computational Biomedicine from New York University. His educational background provides a strong foundation in both biological sciences and quantitative analysis.
Professional Background
Xuya W. is currently serving as Principal Scientist at Informatics & Predictive Sciences at Bristol Myers Squibb in Princeton, New Jersey. His earlier roles include a Visiting Machine Learning Fellow at the Broad Institute of MIT and Harvard in 2016, a Data Scientist Intern at Boehringer Ingelheim in 2015, and various research and data science positions at NYU Langone Health between 2013 and 2018. He also gained experience as a Research Intern at Microsoft in 2014.
Research Contributions and Publications
Xuya W. has published multiple research papers in the fields of immuno-oncology and data science. His work is well-recognized, and he has presented his findings at the American Association for Cancer Research (AACR) annual meeting, focusing on the application of machine learning in drug development. One notable achievement is the development of a predictive model that significantly improved patient response predictions in clinical trials.
Awards and Recognition
In acknowledgment of his contributions to computational biomedicine, Xuya W. received the 'Rising Star' award from the International Society for Computational Biology (ISCB). This award highlights his impactful work and dedication to advancing the field.
Mentorship and Editorial Roles
Xuya W. actively mentors Ph.D. students and postdoctoral researchers in data science and computational biology. In addition to his mentorship roles, he serves on the editorial board of a leading journal in bioinformatics and computational biology, contributing to the advancement of scientific knowledge and practices in his field.
Collaborative Projects and Initiatives
At Bristol Myers Squibb, Xuya W. has collaborated with cross-functional teams to integrate data science solutions into the drug discovery pipeline. He led a project utilizing real-world data to identify novel biomarkers for cancer treatment, showcasing his ability to apply data science in practical and impactful ways.