Conference Proceeding talk 3 on Relevant Topic in Your Field
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
CV
Education
- Ph.D. in Mathematical Statistics, University of Maryland, College Park, 2019 - 2025
- M.S. in Mathematics, University of Science and Technology of China, 2014 - 2016
- B.S. in Mathematics and Applied Mathematics, Nanjing Normal University, 2010 - 2014
Professional experiences
- 2019 - 2021: Teaching Assistant
- University of Maryland, College Park
- Duties included: Taught undergraduate and graduate-level statistics courses, mentoring students on applied statistical methods and programming
- Advisor: Doron Levy
- 2021 - 2025 : Predoctoral Fellow
- National Cancer Institute, National Institutes of Health
- Duties included:
- Designed and implemented statistical analyses for large-scale cancer epidemiology studies, including around 7M genetic variants and more than 15K subjects
- Developed two computationally efficient methods for heritability estimation of longitudinal traits; code released on GitHub
- Conducted biomarker validation studies in nutritional epidemiology; evaluated dietary assessment tools against objective measures
- Advisors: Paul S. Albert, Jianxin Shi, and Hyokyoung G. Hong
- 2025 - Present: Postdoctoral Fellow
- National Cancer Institute, National Institutes of Health
- Duties included:
- Develop and apply novel statistical methods for longitudinal biomarker and genetic data analysis
- Lead methodological projects on genetic influences in PSA velocity, with potential applications in clinical risk prediction
- Collaborate with epidemiologists, geneticists, and bioinformaticians to integrate multi-omics data for translational research
- Advisors: Paul S. Albert and Jianxin Shi
Skills
- Statistical Methods: Linear and generalized mixed mode, survival analysis, Bayesian methods, variance components, heritability estimation, machine learning,longitudinal data modeling etc
- Data Analysis: electronic health records (EHR) data, biomarker studies, genome-wide association studies
- Progarmming: R, C++, Jupyter, SAS, Python, Git
- Data Management: High-dimensional omics data, EHR data, large cohort datasets (All of Us, PLCO, UKBiobank, NIH-AARP)
Publications
Presentations
Talk 2 on Relevant Topic in Your Field
Talk at London School of Testing, London, UK
Tutorial 1 on Relevant Topic in Your Field
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk 1 on Relevant Topic in Your Field
Talk at UC San Francisco, Department of Testing, San Francisco, California
Teaching
Service and leadership
- Reviewer
- Journal:
- Statistics in Medicine (1)
- Biometrics (1)
- Journal of Biopharmaceutical Statistics (1)
- Frontiers in Oncology (1)
- Journal:
- Conference session/Seminar organizers
- 2024/08: Chair of the session “Rethinking Current Modeling Strategies: Advances and Applications” at JSM 2024
- 2023/10: Chair of the session “Concurrent - Statistical Insights into Mortality and Inference: From Choquet Capacities to Demographic Patterns” at WSDS 2023
- Vice President, Women in Mathematics (WIM), UMCP, May 2022 – May 2023
- Collaborated with the WIM board to organize professional development events for women in statistics and biostatistics
- Coordinated talks by prominent women statisticians to inspire and support female students in developing confidence and community in the field
- Directed Reading Program Mentor, UMCP, Feb 2021 – May 2021
- Mentored an undergraduate student through an independent study in graduate-level statistical inference
- Promoted student engagement in statistics and data science through one-on-one guidance and discussion