Fei Jiang

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.

Education And Training

• Harvard University, Boston Postdoctoral Fellow 06/2016 Biostatistics
• Rice University, Houston Ph.D. 01/2014 Statistics
• The University of Texas at Houston, Houston M.S. 07/2010 Biostatistics

Awards And Honors

• Stroke and Vascular Neurology Journal 2018 - 2018 Stroke and Vascular Neurology High Impact Paper Award
• ENAR 2013 - 2013 ENAR Distinguished Student Paper Award
• Rice University 2010 - 2012 Rice Graduate Student Fellowship

Publications

• High activity and high functional connectivity are mutually exclusive in resting state zebrafish and human brains. BMC Biol. 2022 04 11; 20(1):84. Zarei M, Xie D, Jiang F, Bagirov A, Huang B, Raj A, Nagarajan S, Guo S.
• Robust Recommendation via Social Network Enhanced Matrix Completion, Wang, J., Shen, H., Jiang, F. Statistica Sinica. 2022; 1(1):1. Wang, J. Shen, H. Jiang, F.
• Bayesian Hierarchical Model for Change Point Detection in Multivariate Sequences, Jin, H. (student), Yin, G., Yuan, B., & Jiang, F. Technometrics. 2022; 1(1):1. Jin, H. (student), Yin, G., Yuan, B., & Jiang, F.
• Poisson Regression with Error Corrupted High Dimensional Features, Jiang, F., & Ma, Y. Statistica Sinica. 2022; 1(1):1. Jiang, F., & Ma, Y.
• Time-varying dynamic network model for dynamic resting state functional connectivity in fMRI and MEG imaging. Neuroimage. 2022 07 01; 254:119131. Jiang F, Jin H, Gao Y, Xie X, Cummings J, Raj A, Nagarajan S.
• The effect of renin-angiotensin-aldosterone system inhibitors on organ-specific ace2 expression in zebrafish and its implications for COVID-19. Sci Rep. 2021 12 08; 11(1):23670. Kim GJ, Melgoza A, Jiang F, Guo S.
• Higher Levels of Pro-inflammatory Cytokines Are Associated With Higher Levels of Glutamate in the Anterior Cingulate Cortex in Depressed Adolescents. Front Psychiatry. 2021; 12:642976. Ho TC, Teresi GI, Segarra JR, Ojha A, Walker JC, Gu M, Spielman DM, Sacchet MD, Jiang F, Rosenberg-Hasson Y, Maecker H, Gotlib IH.
• Understanding and Utilizing the Linearity Condition in Dimension Reduction, Ma, Y. and Jiang, F. Statistica Sinica. 2020; 1(30):763-781. Ma, Y. and Jiang, F.
• A Functional Single Index Model, Jiang, F., Baek, S., Cao, J., Ma, Y. Statistica Sinica. 2020; 1(30):303-324. Jiang, F., Baek, S., Cao, J., Ma, Y.
• Robust Alternatives to ANCOVA for Estimating the Treatment Effect via a Randomized Comparative Study, Jiang, F., Tian, L, Fu, H., Hasegawa, T, and Wei, L. J. Journal of the American Statistical Association. 2019; 0(0). Jiang, F., Tian, L, Fu, H., Hasegawa, T, and Wei, L. J.
• Sufficient Direction Factor Model and its Application for eQTL Discovery, Jiang, F., Ma, Y., and Wei, Y. Biometrika. 2019; 2(106):417–432. Jiang, F., Ma, Y., and Wei, Y.
• Functional Censored Quantile Regression with Application to the BOSS data Analysis, Jiang, F., Chen, Q., Yin, G., Shen, H. Journal of American Statistical Association. 2019; 0(0):1-24. 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. 2018. Jiang, F., Yin, G., and Dominici, F.
• Moving Beyond the Conventional Stratified Analysis to Estimate an Overall Treatment Efficacy with the Data from a Comparative Randomized Clinical Study, Tian, L., Jiang, F., Hasegawa, T., Uno, H., and Wei, L. J. Statistics in Medicine. 2018; 6(38):917-932. Tian, L., Jiang, F., Hasegawa, T., Uno, H., and Wei, L. J.
• Kernel-Based Adaptive Randomization Toward Balance in Continuous and Discrete Covariates, Jiang, F., Ma, Y., and Yin, G. Statistica Sinica. 2018; (28 ):2841-2856. Jiang, F., Ma, Y., and Yin, G.
• STK11/LKB1 Mutations and PD-1 Inhibitor Resistance in KRAS-Mutant Lung Adenocarcinoma. Cancer Discov. 2018 07; 8(7):822-835. 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 Complement Altern Med. 2018 Apr 23; 18(1):133. 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, Zack, M. Jiang, F., and Wei, L. J. Journal of the American Medical Association, Letter. 2018. Zack, M. Jiang, F., and Wei, L. J.
• Artificial intelligence in healthcare: past, present and future, Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., Wang, Y., Dong, Q., Shen, H., & Wang, Y. Stroke and vascular neurology. 2017; 4(2):230-243.. 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, Jiang, F. and Haneuse, S. Scandinavian Journal of Statistics. 2017; 1(44):112-129. Jiang, F. and Haneuse, S.
• A Semiparametric Method for Survival Analysis, with Application to an AIDS Clinical Trial Study, Jiang, F., Ma, Y., and Lee, J. Journal of the Royal Statistical Society: Series C. 2016; 4(66):833-846. Jiang, F., Ma, Y., and Lee, J.
• Fused Kernel-Spline Smoothing for Repeatedly Measured Outcomes in a Generalized Partially Linear Model with Functional Single Index, Jiang, F., Ma, Y., and Wang, Y. Annals of Statistics. 2015; 5(43):1929-1958. Jiang, F., Ma, Y., and Wang, Y.
• A Bayesian Decision-theoretic Sequential-Response Adaptive Randomization Design, Jiang, F., Lee, J., and Mueller, P. Statistics in Medicine. 2013; 12(32):1975-1994. Jiang, F., Lee, J., and Mueller, P.