基本介紹
- 中文名：林曉蕾
- 畢業院校：美國芝加哥大學
- 學位/學歷：博士
- 職業：教師
- 專業方向：縱向數據統計分析、聚集型數據統計學習、機器學習方法的套用
- 任職院校：復旦大學大數據學院
人物經歷,教育經歷,工作經歷,研究方向,學術成果,
人物經歷
教育經歷
Ph.D, The University of Chicago, 2018 （Thesis: Statistical methods for Ecological Momentary Assessment Data: heterogeneous variance, missing data and latent state classification）
MS, The University of Iowa, 2014 （Thesis: Hierarchical auto-regressive model for longitudinal visual field loss assessment）
BS, Sun Yat-Sen University, 2011
工作經歷
Assistant Professor, March 2019 – present School of Data Science, Fudan University
Data Scientist Intern, Jun 2017 – Sep 2017 Google Inc, New York City, NY
Data Scientist Intern, Jun 2016 – Aug 2016 Google Inc, Mountain View, CA
研究方向
Biostatistics
Statistical methods for intensive longitudinal data.
Statistical learning for clustering and longitudinal data.
學術成果
1. A 3-level Bayesian mixed effects location scale model with an application to ecological momentary assessment data, Statistics in Medicine, 2018
2. A shared parameter location scale mixed effect model for EMA data subject to informative missing, Health Serv Outcomes Res Method 2018
3. Duration of Androgen Deprivation in Locally Advanced Prostate Cancer: Long-Term Update of NRG Oncology RTOG 9202, International Journal of Radiation Oncology biology physics, 2017
4. Ocular-specific ER stress reduction rescues glaucoma in murine glucocorticoid-induced glaucoma, Journal of Clinical Investigation, 2014
5. Modifiable Substance Use Behaviors in Adolescent and Young Adult (AYA) Cancer Patients, Journal of Clinical Oncology, 2017
