About Me
LinkedIn | Email: danni631@gmail.com
I am a Sr. Applied Scientist on Safety & Insurance at Uber.
I received a Ph.D. degree in Statistics from Virginia Tech, and a Ph.D. degree in Transportation Planning and Management from Tongji University.
My research focuses on empowering statistical causal inference with cutting-edge deep learning techniques, with a particular interest in observational studies with imbalanced and heterogeneous data. Most of my application projects root in transportation safety, including driving risk evaluation, population dynamic monitoring, and highway safety maintenance.
I like dancing, snowboarding, and travelling. I'm also a big fan of photography.
Education
Ph.D. in Statistics, Virginia Tech, Blacksburg, VA [Dissertation]
Ph.D. in Transportation Planning and Management, Tongji Unniversity, Shanghai, China
B.S. in Mathematics, Fudan University, Shanghai, China
Experience
2021/03 - now, Sr. Applied Scientist, Uber Technologies, Inc. San Francisco, CA.
2020/05 - 2020/08, Data Scientist Intern, Genentech Inc. South San Francisco, CA
2015/08 - 2020/05, Research Assistant, Virginia Tech Transportation Institute(VTTI), Blacksburg, VA
Publication
[15] Guo, F and D Lu. "How many crashes does cellphone use contribute to? Population attributable risk of cellphone use while driving." Journal of safety research (2022).[Link]
[14] J Chen, D Lu, Z Xiu, K Bai, L Carin, C Tao, Variational Inference with Holder Bounds, arXiv:2111.02947, 2021. [Paper]
[13] Tural E, Lu D, Austin Cole D. Safely and Actively Aging in Place: Older Adults’ Attitudes and Intentions Toward Smart Home Technologies. Gerontology and Geriatric Medicine. January 2021. [Paper]
[12] Lu D, Li Y, Guo F, Evaluating Spatial and Temporal Characteristics of Population Density using High Resolution Cellular Data, IEEE ITS 2021. [Paper]
[11] Lu D, Tao C, Carin L, Li F, Guo F, Reconsidering Generative Objectives For Counterfactual Reasoning , NeurIPS 2020. [Paper] [Poster] [Code]
[10] Lu D, Guo F, Li F, Evaluating the Causal Relationship between Crash Risk and Cellphone Engagement Using Propensity Score Method, Accident Analysis & Prevention 2020 (143): 105579. [Link] [Paper]
[9] Tural E, Lu D, Cole DA. Factors predicting older Adults’ attitudes toward and intentions to use stair mobility assistive designs at home. Preventive Medicine Reports. 2020 ; 3(16):101082. [Link] [Paper]
[8] Li Y, Lu D. Bus Scheduling Model Based on Peak Hour Volume Clustering. CICTP 2015; 7: 1065-1080. [Link]
[7] Li Y, Lu D, Tian Y. Modeling corridor and growth pole coevolution in regional transportation network. Transportation Research Record. 2014 Jan;2466(1):144-152. [Link] [Paper]
[6] Li Y, Bao L, Deng H, Lu D. Promoting the Marketization of Battery-electric-Bus (BEB) based on the Satisfaction Model. Procedia-Social and Behavioral Sciences. 2013 Nov 6;96:1146-1155. [Link] [Paper]
[5] Li Y., Deng H., Lu D., From Cost Control to Performance Assessment: Transforming the Urban Public Transportation Management System. Urban Transport of China. 2013(2):16. [Link]
[4] Li Y., Deng H., Lu D., Institutional Framework for Urban Public Transportation Priority Based on Concept Innovations. Urban Transport of China. 2013(2):12. [Link]
[3] Li Y, Lu D, Deng H. Legislation System for Urban Public Transportation Priority Development: International Lessons and Experience. Urban Transport of China. 2013;8:52-59. [Link]
[2] Tian Y., Li Y., Lu D., A Biologically Inspired Model for Generating Regional Adaptive Transportation Network. Journal of Tongji University (Natural Science). 2012;40(3):428-433. [Link]
[1] Sun Y, Li Y, Lu D. Adaptive Transport Network Model Based on Sparse Matrix Processing Technics. Journal of Highway and Transportation Research and Development. 2011;28(11):138-141. [Link]