Sining Chen, Ph.D. 600 Mountain Ave, Murray Hill, New Jersey 07974 [email protected] +1 973 4521190

Highlights   

15 years of highly impactful statistics research in both academia and industry (30 publications, 3 patents, 1000+ citations from first authored publications) Extensive experience with big data analytics and associated statistical and machine learning techniques: Highly successful mentor (10+ students), principal investigator ($600,000+ total funding), team leader, collaborator, consultant and presenter.

Professional Experience 

2011 – present Member of Technical Staff, Bell Labs, Alcatel-Lucent (USA) Mobile User Behavior Modeling Developed a core set of algorithms to model users’ online/offline behavior and to infer demographics, intention and lifestyle; enabled use cases of monetizing potential; Natural Language Processing Applied library scientific approach to topic modeling to summarize a body of research using a controlled vocabulary; Customer Experience Modeling Proposed a model that performs real-time monitoring of the QoS (quality of service), QoE (quality of experience) of individual customers; Social Network Analysis Studied users’ interaction patterns on a corporate social network; Online Video-Viewing Experience Inferred users’ experience with the network through video viewing behavior, accounting for server side control mechanisms, user characteristics and video characteristics; Energy Forecasting on the Smart Grid Implemented and compared several widely used and in-house algorithms for short time energy forecast from large to small scale (city-level to individual household level); Consulting Analyzed and creatively visualized data for decision making for finance, marketing, human resources and CTO offices.

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2009 – 2011 Associate Professor Rutgers University, School of Public Health, Piscataway, New Jersey

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2005 – 2009 Assistant Professor Johns Hopkins University, School of Public Health, Baltimore, Maryland

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2002 – 2005 Research Fellow Johns Hopkins University, School of Medicine

Education  

Ph.D. 2002 Statistics and Decision Sciences, Duke University, Durham, NC B. S. 1997 Applied Mathematics, Tsinghua University, Beijing, China

Patents "A Multi-Layer Dynamic Model for Customer Experience Analytics", Patent Filed by Alcatel-Lucent. Co-inventor. “Best Kappa Scores for Measuring Inter-Rater Reliability”, application for provisional patent filed by UMDNJ. Co-inventor. “Cancer-Specific High-Throughput Annotation of Somatic Mutations”, Johns Hopkins Technology Transfer reference #C11081. Co-inventor.

Selected Publications (31 total; Most recent work cannot be externally published) Mirowski P, Chen S, Ho T et al., (2014) “Demand Forecasting in Smart Grids”, Bell Labs Technical Journal Chen S, Ho T, Vyas A et al., (2014) "A Multi-Layer Dynamic Model for Customer Experience Analytics", Bell Labs Technical Journal Chen S, Wang C, Eberley L et al., (2009) “Adaptive Control of the False Discovery Rate in Voxel-Based Morphometry”, Human Brain Mapping, 30(7): 2304-2311 Carter H, Chen S, Isik L, et al., (2009) “Cancer-specific High-throughput Annotation of Somatic Mutations: computational prediction of driver missense mutations”, Cancer Research, 69(16):6660-7 Chu H, Chen S, and Louis TA. (2009) “Random Effects Models in a Meta-Analysis of the Accuracy of Two Diagnostic Tests without a Gold Standard”, Journal of the American Statistical Association, 104(486) 512-523 Chen S, Wang W, Lee S et al., (2006) “Prediction of Germline Mutations and Cancer Risk in the Lynch Syndrome”, Journal of American Medical Association, 296 (12) Chen S, Iversen ES, Friebel T, et al.,(2006), “Characterization of BRCA1 and BRCA2 Mutations in a Large United States Sample”, Journal of Clinical Oncology, 24 (6) Chen S, Watson P, and Parmigiani G (2005), “Accuracy of MSI Testing in Predicting Germline Mutations of MSH2 and MLH1: a Case Study in Bayesian Meta-Analysis of Diagnostic Tests without a Gold Standard,” Biostatistics, 6 (3)

Other Accomplishments 

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Consultant to then-startup Threadsy (now part of Facebook, Inc.):investigated the link between “influencers” and actual influence as measured through an online experiment; Recipient of numerous awards for research and innovation from National Cancer Institute, National Science Foundation, UMDNJ and Johns Hopkins University; Regularly invited to serve on national and international grant review panels to review multi-million dollar proposals; 20+ invited talks at universities (Columbia, Brown, etc.) and conferences; Served on 5 university committees; Author and co-author of softwares: BayesMendel, ExactOdds, CHASM