Curriculum Vitae
Education
- Ph.D. in Biostatistics, UC San Diego, 2023
- M.S. in Statistics, UC San Diego, 2019
- B.S. in Mathematics and Applied Mathematics, Beijing University of Posts and Telecommunications, 2017
Work Experience
- Mar. 2025 – present: Data Scientist Research, Google LLC
- Aug. 2023 – Mar. 2025: Senior Data Scientist, Cruise LLC
- Summer 2022: PhD Intern, Data Scientist, Cruise LLC
- Summer 2021: Statistician Intern, Bayer U.S. LLC
Skills
- Languages & Tools: R, R Shiny, Python, SQL, MATLAB, LaTeX
Publications
- On the peak height distribution of non-stationary Gaussian random fields: 1D general covariance and scale space. - Y. Zhao, D. Cheng, S. Davenport and A. Schwartzman. Submitted.
- An approximation to peak detection power using Gaussian random field theory. Y. Zhao, D. Cheng and A. Schwartzman. Journal of Multivariate Analysis, 204, 105346.
- The chronic progressive repeated measures (CPRM) model for longitudinal data. Y. Zhao and S.D. Edland. International Journal of Statistics in Medical Research, 13, 190–198.
- Power formulas for mixed effects models with random slope and intercept comparing rate of change across groups. Y. Zhao and S.D. Edland. The International Journal of Biostatistics, 18, 173–182.
- Association of Neurofibrillary Tangle Distribution With Age at Onset–Related Clinical Heterogeneity in Alzheimer Disease. D.S. Smirnov, D.P. Salmon, D. Galasko, V.S. Goodwill, L.A. Hansen, Y. Zhao, S.D. Edland, G.C. Léger, G.M. Peavy, D.M. Jacobs, R. Rissman, D.P. Pizzo, A. Hiniker. Neurology. 2022 Feb 1;985):e506-e517.
Teaching
- Served as Teaching Assistant for: Math 10A (Calculus I), Math 10C (Calculus III), MATH 20E (Vector Calculus), MATH 11 (Calculus-Based Prob & Stats), FMPH 102 (Biostatistics in Public Health), FMPH 221 (Biostatistical Methods I), DSC 291 (Large-Scale Statistical Analysis), DSC 241 (Statistical Models).
