Fei Jiang

Associate Professor
Department of Epidemiology and Biostatistics
University of California, San Francisco
550 16th St, San Francisco, CA 94158
Phone: (408)-821-5275 | Email: fei.jiang@ucsf.edu
Website: jianglab.ucsf.edu

Contributions to Science & Highlights

            [cite_start]Mission: Develop machine learning models and statistical tests to analyze and generate new scientific knowledge from data with missing/censoring, measurement error, unobservable causal relation, high dimensional features, spatial/temporal correlations, and network structures[cite: 2].
        

[cite_start]Methodologies: Dynamic functional connectivity, high dimensional data analysis, functional data analysis, longitudinal data analysis, survival analysis, measurement error models, adaptive randomization clinical trials[cite: 2].
[cite_start]Application Areas: Neuroimaging, cardiovascular/cerebrovascular imaging, stroke, EMR data analysis, Huntington's disease, digital health, medical device signal processing[cite: 2].

Education & Training

2014 - 2016

Harvard University (Postdoctoral Research Fellow)
[cite_start]Mentors: Prof. Francesca Dominici, Prof. Lee-Jen Wei, Dr. Sebastien Haneuse [cite: 2]

2010 - 2013

Rice University & M.D. Anderson Cancer Center (Ph.D. in Statistics)
[cite_start]Advisor: Prof. J. Jack Lee [cite: 2]

2007 - 2010

The University of Texas Health Science Center at Houston (M.S. in Biostatistics)
[cite_start]Advisor: Prof. Dejian Lai [cite: 2]

2003 - 2007

[cite_start]Jiangxi University of Finance and Economics (B.S. in International Finance) [cite: 2]

Academic Appointments

Since 2023

[cite_start]

Associate Professor, Dept. of Epidemiology and Biostatistics, UCSF [cite: 2]

2019 - 2023

[cite_start]

Assistant Professor, Dept. of Epidemiology and Biostatistics, UCSF [cite: 2]

Jan 2019 - Jun 2019

[cite_start]

Visiting Scholar, Dept. of Biomedical Data Science, Stanford University [cite: 2]

2016 - 2019

[cite_start]

Assistant Professor, Dept. of Statistics and Actuarial Science, The University of Hong Kong [cite: 2]

Administration & Industry Positions

Associate Director, BASc Applied AI Program, The University of Hong Kong (2018-2019) [cite: 2]
Associate Director, Master of Data Science Program, The University of Hong Kong (2017-2018) [cite: 2]
Visiting Scientist, Cardinal Operations, Shanghai (Aug 2018) [cite: 2]
Independent Expert Advisor, Hong Kong Highway Department (Nov 2018-2019) [cite: 2]

Awards

2018: Stroke and Vascular Neurology High Impact Paper Award [cite: 2]
2013: ENAR Distinguished Student Paper Award [cite: 2]
2010-2012: Rice Graduate Student Fellowship [cite: 2]

Research Funding

Active

National Institutes of Health (K25), PI (9/1/2022 - 8/31/2027)
[cite_start]Dynamic Resting State Functional Connectivity Machine Learning Framework for Dementia. Total: $145,301/year. [cite: 2]
UCSF Research Allocation Program, PI (11/1/2023 - 1/1/2024)
[cite_start]The development of a cloud based platform for epilepsy surgery planning. Total: $40,000. [cite: 2]

Completed

General Research Fund, PI (2018-2021). [cite_start]Response-aided Clustering... BOSS data. ($456K HKD) [cite: 2]
General Research Fund, PI (2017-2019). [cite_start]Censored Quantile Regression... ($497K HKD) [cite: 2]
Health and Medical Research Fund, Co-I (2019-2022). [cite_start]Acupuncture for insomnia in breast cancer... ($1.5M HKD) [cite: 4, 5]
Health and Medical Research Fund, Co-I (2017-2019). [cite_start]Acupuncture for Postoperative Pain... ($761K HKD) [cite: 3]
Seed Fund for Basic Research, PI (2017-2018). [cite_start]Independent Component Approach for Estimating Heritability. ($150K HKD) [cite: 6]

Publications

Methodology & Statistical Theory

Wang, J., Shen, H. and Jiang, F. (2023). Robust Recommendation Via Social Network Enhanced Matrix Completion. [cite_start]Statistica Sinica, 33, pp.1-23. [cite: 69]
Jin, H., Ma, Y. and Jiang, F.* (2022). Matrix Completion with Covariate Information and Informative Missingness. [cite_start]Journal of Machine Learning Research, 23(180), pp.1-62. [cite: 69]
Jiang, F.*, Jin, H., Gao, Y., Xie, X., Cummings, J., Raj, A.*, and Nagarajan, S.* (2022). Time-varying Dynamic Network Model for Dynamic Resting State Functional Connectivity in fMRI and MEG Imaging. [cite_start]NeuroImage, 254, 119131. [cite: 69]
Jin, H., Yin, G., Yuan, B., and Jiang, F.* (2022). Bayesian Hierarchical Model for Change Point Detection in Multivariate Sequences. [cite_start]Technometrics, 64(2), 177-186. [cite: 69]
Valdes, G., Friedman, J.H., Jiang, F. and Gennatas, E.D. (2021). Representational Gradient Boosting: Backpropagation in the Space of Functions. [cite_start]IEEE TPAMI, 44(12), pp.10186-10195. [cite: 69]
Jiang, F.* and Ma, Y. (2020). Poisson Regression with Error Corrupted High Dimensional Features. [cite_start]Statistica Sinica, 32(2022), 1-24. [cite: 69]
Jiang, F., Cheng, Q., Yin, G., and Shen, H. (2020). Functional Censored Quantile Regression. [cite_start]Journal of the American Statistical Association, 115(530), 931-944. [cite: 71]
Ma, Y. and Jiang, F. (2020). Understanding and Utilizing the Linearity Condition in Dimension Reduction. [cite_start]Statistica Sinica, 30, 763-781. [cite: 74]
Jiang, F., Baek, S., Cao, J., Ma, Y.* (2018). A Functional Single Index Model. [cite_start]Statistica Sinica, 30(2020) 303-324. [cite: 76]
Jiang, F., Tian, L., Fu, H., Hasegawa, T., and Wei, L. J. (2019). Robust Alternatives to ANCOVA for Estimating the Treatment Effect via a Randomized Comparative Study. [cite_start]Journal of the American Statistical Association, 114(528), 1854-1864. [cite: 77]
Jiang, F.*, Ma, Y., and Wei, Y. (2019). Sufficient Direction Factor Model and its Application to Gene Expression Quantitative Trait Loci Discovery. [cite_start]Biometrika, 106(2), 417-432. [cite: 81]
Tian, L., Jiang, F., Hasegawa, T., Uno, H., Pfeffer, M., and Wei, L. J.* (2019). [cite_start]Moving Beyond the Conventional Stratified Analysis... Statistics in Medicine, 38(6), 917-932. [cite: 83]
Jiang, F., Yin, G., and Dominici, F. (2019). Bayesian Model Selection Approach to Multiple Change-Points Detection with Non-Local Prior Distributions. [cite_start]ACM TKDD, 13(5), 1-17. [cite: 87]
Jiang, F.*, Yin, G., and Dominici, F. (2018). Bayesian Multiple Change Point Detection with Non-local Priors. [cite_start]Neural Information Processing Systems (NeurIPS). [cite: 90]
Jiang, F.*, Ma, Y., and Yin, G. (2018). Kernel-based Adaptive Randomization toward Balance in Continuous and Discrete Covariates. [cite_start]Statistica Sinica, 28(4), 2841-2856. [cite: 91]
Jiang, F. and Haneuse, S.* (2017). A Semi-parametric Transformation Frailty Model for Semi-competing Risks Survival Data. [cite_start]Scandinavian Journal of Statistics, 44(1), 112-129. [cite: 94]
Jiang, F.*, Ma, Y., and Jack Lee, J. (2017). A Second-order Semiparametric Method for Survival Analysis... AIDS Clinical Trial Study. [cite_start]Journal of the Royal Statistical Society: Series C, 66(4), 833-846. [cite: 97]
Jiang, F., Ma, Y., and Wang, Y. (2015). [cite_start]Fused Kernel-spline Smoothing for Repeatedly Measured Outcomes... Annals of Statistics, 43(5), 1929. [cite: 100]
Jiang, F., Jack Lee, J., and Müller, P. (2013). A Bayesian Decision-theoretic Sequential Response-adaptive Randomization Design. [cite_start]Statistics in Medicine, 32(12), 1975-1994. [cite: 103]
Jiang, F., Zhou, Y., Liu, J., Ma, Y. On High Dimensional Possion Models with Measurement Error. [cite_start]Annals of Statistics (Under Revision). [cite: 22]
Jiang, F., Zhou, Y. Heterogeneous Functional Regression for Subgroup Analysis. [cite_start]Biometrika (Submitted). [cite: 24]

Medical & Collaborative Applications

Lam, W. C. ... Jiang, F. ... (2021). Superficial Needling Acupuncture vs Sham Acupuncture for Knee Osteoarthritis. [cite_start]The American Journal of Medicine, 134(10), 1286-1294. [cite: 105]
Chen, H. ... Jiang, F. ... (2021). [cite_start]The Adjunctive Effect of Acupuncture for Advanced Cancer Patients... Integrative Cancer Therapies, 20. [cite: 107]
Kim, G. H. J., Melgoza, A., Jiang, F., and Guo, S. (2021). [cite_start]The Effect of RAAS Inhibitors on Organ-specific ace2 Expression in Zebrafish... Scientific Reports, 11(1), 1-9. [cite: 112]
Jelliffe-Pawlowski, L. L. ... Jiang, F. ... (2020). Examining the Impact of the 2019 Novel Coronavirus... HOPE COVID-19 Study. [cite_start]Reproductive Medicine, 1(2), 91-107. [cite: 115]
Xu, J., Jiang, F. et al. (2021). Ambulatory Blood Pressure Profile and Stroke Recurrence. [cite_start]Stroke and Vascular Neurology. [cite: 118]
Ho, T. C. ... Jiang, F. ... (2021). Higher Levels of Pro-inflammatory Cytokines... in Depressed Adolescents. [cite_start]Frontiers in Psychiatry, 12, 346. [cite: 119]
Zack, M. Jiang, F., and Wei, L. J.* (2018). [cite_start]Interpreting the Treatment Effect of Trastuzumab... JAMA (Letter). [cite: 122]
Skoulidis, F. ... Jiang, F. ... (2018). [cite_start]STK11/LKB1 Mutations and PD-1 Inhibitor Resistance... Cancer Discovery, 8(7), 822-835. [cite: 123]
Au, K.Y. ... Jiang, F. ... (2018). [cite_start]Sinew Acupuncture for Knee Osteoarthritis... BMC Complementary and Alternative Medicine, 18(1), 133. [cite: 124]
Jiang, F., Jiang, Y. ... Shen, H.*, and Wang, Y.* (2017). Artificial Intelligence in Healthcare: Past, Present and Future. [cite_start]Stroke and Vascular Neurology, 2(4), 230-243. [cite: 125]

Invited Talks

2021: CNS Workshop; [cite_start]Penn State (Dynamic Resting State Functional Connectivity) [cite: 147, 148]
2020: CMStatistics Conference [cite: 146]
2018: Hong Kong College of Radiologists; AI Health Summit HK; Joint Statistical Meeting; [cite_start]IMS Singapore [cite: 139-145]
2017: ICSA International Conference; M.D. Anderson Cancer Center; [cite_start]LIDA International Conference [cite: 133-137]
2016: ICSA International Conference; Renmin University of China; [cite_start]NUS [cite: 129-132]
2014: University of Nevada, Reno [cite: 127]

Teaching & Mentoring

Course Lecturer:

Mathematical Foundations for Epidemiologists (Ph.D.), UCSF (2019-Present) [cite: 159]
Linear Statistical Analysis, HKU (2016-Present) [cite: 159]
Biostatistics (Master), HKU (2016-Present) [cite: 160]

Mentoring:

Huaqing Jin (Ph.D. Student), 2018-Present (UCSF/HKU) [cite: 162]
Jingxuan Wang (Ph.D. Student), 2018-Present (UCSF/HKU) [cite: 163]
Yeqing Zhou (Ph.D. RA), 2018-Present (HKU) [cite: 165]
Qing Chen (Ph.D. RA), 2017-2018 (HKU) [cite: 164]

Professional Service

[cite_start]Referee For: NeuroImage, Elife, JASA, Management Science, Statistica Sinica, JBES, AOAS, Electronic Journal of Statistics, Lifetime Data Analysis, CSDA, Statistics in Medicine[cite: 173].

[cite_start]Memberships: American Statistical Association, International Chinese Statistical Association[cite: 175, 176].

Collaborations

M.D. Anderson Cancer Center, Harvard T.H. [cite_start]Chan School of Public Health, Stanford School of Medicine, Columbia School of Public Health, HKU School of Medicine, Beijing Tiantan Hospital [cite: 8-17].