Fei Jiang, PhD, MS

Assistant Professor, Epidemiology & Biostatistics
Epidemiology & Biostatistics

Dr. Jiang is an assistant professor in biostatistics in the University of California, San Francisco. She has been an assistant professor in statistics for three years in the University of Hong Kong. Her research interest lies in machine learning methods, high dimensional models, functional data analysis and their applications in analyzing neurological, image, genetics data, and in designing adaptive randomization clinical trials. Her efforts yield high quality statistical and computational publications, which focus on addressing practical problems in the medical domain. In addition, she has taught both undergraduate and graduate courses on the foundations of statistics and their applications in medical diagnosis, medical decision making, classification, prognostic prediction, and clinical trials. Furthermore, she has involved in establishing Master of Data Science and Artificial Intelligence program in the University of Hong Kong. As a researcher with solid statistical background, she is able to provide rigorous data driven tools to analyze wide range of biomedical data.


A Functional Single Index Model

Statistica Sinica

Jiang, F., Baek, S., Cao, J., Ma, Y.

Robust Alternatives to ANCOVA for Estimating the Treatment Effect via a Randomized Comparative Study

Journal of the American Statistical Association.

Jiang, F., Tian, L, Fu, H., Hasegawa, T, and Wei, L. J.

Functional Censored Quantile Regression with Application to the BOSS data Analysis

Journal of American Statistical Association

Jiang, F., Chen, Q., Yin, G., Shen, H.

Bayesian Multiple Change Point Detection with Non- local Priors

Neural Information Processing Systems. Long version in Transactions on Knowledge Discovery from Data.

Jiang, F., Yin, G., and Dominici, F.

STK11/LKB1 Mutations and PD-1 Inhibitor Resistance in KRAS-Mutant Lung Adenocarcinoma.

Cancer discovery

Skoulidis F, Goldberg ME, Greenawalt DM, Hellmann MD, Awad MM, Gainor JF, Schrock AB, Hartmaier RJ, Trabucco SE, Gay L, Ali SM, Elvin JA, Singal G, Ross JS, Fabrizio D, Szabo PM, Chang H, Sasson A, Srinivasan S, Kirov S, Szustakowski J, Vitazka P, Edwards R, Bufill JA, Sharma N, Ou SI, Peled N, Spigel DR, Rizvi H, Aguilar EJ, Carter BW, Erasmus J, Halpenny DF, Plodkowski AJ, Long NM, Nishino M, Denning WL, Galan-Cobo A, Hamdi H, Hirz T, Tong P, Wang J, Rodriguez-Canales J, Villalobos PA, Parra ER, Kalhor N, Sholl LM, Sauter JL, Jungbluth AA, Mino-Kenudson M, Azimi R, Elamin YY, Zhang J, Leonardi GC, Jiang F, Wong KK, Lee JJ, Papadimitrakopoulou VA, Wistuba II, Miller VA, Frampton GM, Wolchok JD, Shaw AT, Jänne PA, Stephens PJ, Rudin CM, Geese WJ, Albacker LA, Heymach JV

Sinew acupuncture for knee osteoarthritis: study protocol for a randomized sham-controlled trial.

BMC complementary and alternative medicine

Au KY, Chen H, Lam WC, Chong CO, Lau A, Vardhanabhuti V, Mak KC, Jiang F, Lam WY, Wu FM, Chan HN, Ng YW, Ng BF, Ziea ET, Lao L

Interpreting the Treatment Effect of Trastuzumab for a Duration of 9-weeks vs 1-Year for HER2Positive Breast Cancer

Journal of the American Medical Association, Letter.

Zack, M. Jiang, F., and Wei, L. J.

Artificial intelligence in healthcare: past, present and future

Stroke and vascular neurology

Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., Wang, Y., Dong, Q., Shen, H., & Wang, Y.

A Semi-parametric Transformation Frailty Model for Semi-competing Risks Survival Data

Scandinavian Journal of Statistics.

Jiang, F. and Haneuse, S.

A Semiparametric Method for Survival Analysis, with Application to an AIDS Clinical Trial Study

Journal of the Royal Statistical Society: Series C

Jiang, F., Ma, Y., and Lee, J.

A Bayesian Decision-theoretic Sequential-Response Adaptive Randomization Design

Statistics in medicine

Jiang, F., Lee, J., and Mueller, P.