Conference location and directions are available here.

The program booklet is available here.


Wednesday, May 15, 2019

  • 08:00-17:00 Registration
  • 08:00-08:40 Refreshment
  • 08:40-12:00 Morning shortcourse
  • 10:10-10:30 Tea break
  • 12:00-13:00 Lunch
  • 13:00-16:20 Afternoon shortcourse
  • 14:30-14:50 Tea break
  • 17:00-18:30 Munich Re Group -- HSB Welcoming reception

Thursday, May 16, 2019

  • 08:00-17:00 Registration
  • 08:00-09:00 Refreshment
  • 09:00-09:10 Welcome remark
  • 09:10-10:45 Plenary Session (two keynote talks)
  • 10:45-11:00 Tea break
  • 11:00-12:40 Parallel sessions
  • 12:40-14:00 Lunch
  • 14:00-15:40 Parallel sessions
  • 15:40-16:00 Tea break
  • 16:00-17:40 Parallel sessions
  • 17:40-19:00 Poster session
  • 19:00-21:00 Banquet (with a banquet speech)

Friday, May 17, 2019

  • 08:00-12:00 Registration
  • 08:00-08:30 Refreshment
  • 08:30-10:10 Parallel sessions
  • 10:10-10:30 Tea Break
  • 10:30-12:10 Parallel sessions
  • 12:10-13:10 Lunch
  • 13:10-14:50 Parallel sessions
  • 14:50-15:10 Tea break
  • 15:10-16:20 Chernoff Award and Chernoff Lecture
  • 16:20-16:40 Award ceremony (Travelers Stat-a-thon; Liberty Mutual Student Poster; IBM Student Paper)

Session Schedule

Wednesday, May 15, 8:40-16:30

Short Courses

Wednesday, May 15, 17:00-18:30

Welcoming Reception

Thursday, May 16, 9:00-10:45

Plenary Keynote Session

  • Dr. Samuel Kou (Harvard University): Big Data, Google and Disease Detection: A Statistical Adventure

  • Drs. David Rosenberg and Amanda Stent (Bloomberg): Machine Learning for Structured and Unstructured Data in Finance

Thursday, May 16, 11:00-12:40

Travelers Stat-a-thon 2019, Theme 1: Connecticut Housing in Room Ethan Allen

Session Title Organizer Room
New Advances in Network Data Analysis Guanyu Hu Saratoga A
Mathematical Finance Oleksii Mostovyi Salon C
Topics in Correlated and Clustered Data Kerrie Nelson Nathan Hale South
Recent Advances in Design of Experiment Wei Zheng Colt Boardroom
Statistical Methods for Big Data in Neuroscience Jeff Goldsmith Mark Twain
High Dimensional Dependent Data Analysis Yao Zheng Wadsworth
Causality, Inference, and Applications Tamara Broderick Nathan Hale North
Teaching Data Science D. Betsy Mccoach Silas Deane
Using Statistics for Health Delivery System Reform in Massachusetts Arlene Ash Salon A
Biomedical Data Science: To Infinity and Beyond! Tor D. Tosteson Salon B

Thursday, May 16, 14:00-15:40

Travelers Stat-a-thon 2019, Theme 2: Customer Retention in Room Ethan Allen

Session Title Organizer Room
High Dimensional Econometrics Chihwa Kao Nathan Hale North
Advances in Network and Algorithm Analysis Panpan Zhang Silas Deane
Data Science in Actuarial Science Guojun Gan Salon A
Recent Advances and Applications of Measurement Error Models Jeff Buzas Salon C
Recent Advances in Time Series Analysis and Diffusion Processes Ting Zhang Colt Boardroom
Modern Statistical Methods for Health Outcome Data Jing Wu Wadsworth
Data Science and Statistics in Insurance Nathan Lally Mark Twain
Healthcare Data Analysis for Electronic Health Records Junwei Lu Nathan Hale South
Causal Identification and Models for Time-Varying Interventions Xiaoxuan Cai Salon B
Predictive Modeling in Data Science: Methods and Applications Stavroula A. Chrysanthopoulou Saratoga A

Thursday, May 16, 16:00-17:40

Session Title Organizer Room
Frontiers in Sequential Analysis with Applications Aleksey Polunchenko Colt Boardroom
Career Opportunities in Statistics and Data Sciences Naitee Ting Ethan Allen
New Perspectives in Statistical Inference for Data with High Dimensionality Wen Zhou Nathan Hale North
Some Applications of Statistics in Data Science Balgobin Nandram Silas Deane
Statistical Methodology for Healthcare Data Analysis Chongliang Luo Salon A
New Developments of Several Classical Statistical Methods Yuwen Gu Nathan Hale South
Estimating and Hypothesis Testing in Time Series and Spatial Models Yu (Ryan) Yue Mark Twain
Bayesian Method and Causal Inference Ting Zhang Saratoga A
Critical Questions in Drug Development Jie Tang Salon C
New Developments on Data Compatibility and Related Topics Lynn Kuo Wadsworth

Thursday, May 16, 17:40-19:00

Poster Session

Thursday, May 16, 19:00-21:00


Banquet Talk + Dr. Anthony D'Amico (Dana-Farber Cancer Institute and Brigham & Women's Hospital): Improving Patient Outcomes in Prostate Cancer by Partnering Statistics and Medicine

Friday, May 17, 08:30-10:10

Session Title Organizer Room
Computationally Efficient Statistical Methods for Inference on Data with Complex Structures Wen Zhou Mark Twain
Flexible Modeling of Censored Data Victor Hugo Lachos Davila Colt Boardroom
Bayesian Methods and Applications Tevfik Aktekin Nathan Hale South
Recent Advances in Statistical Methods for Missing or Truncated Data Jing Qian Silas Deane
Novel Statistical Methods for the Analysis of Genomic Data Elizabeth Schifano Saratoga A
Effective Communication of Technical Concepts to Non-Technical Audiences Kathy Ziff Ethan Allen
Application of Statistics and Data Sciences in Pharmaceutical Research and Development John Zhong Salon C
High-Dimensional Statistical Inference and Learning Yuping Zhang Nathan Hale North
Data Science: Computational Social Science? Dakota Cintron Wadsworth
Advancement in the Marked-Point Process Modeling Framework for Real-Time Neural Data Analysis Ali Yousefi Salon B
Statistical Learning Methods and Developments Minge Xie Salon A

Friday, May 17, 10:30-12:10

Session Title Organizer Room
Statistical and Machine Learning Methods for Large-Scale Biomedical Data Analysis Zhengqing Ouyang Saratoga A
Applications of Network Science and Causal Inference Methods in Public Health Data Natallia V. Katenka Silas Deane
Novel Computational Approaches for Analyzing Time Series Nalini Ravishanker Mark Twain
Manifolds and Anomalies for Data Science Randy Paffenroth Colt Boardroom
Advances in Modeling and Computation for Latent Variable Models Xiaojing Wang Salon B
Air Pollution and Public Health: New Spatial and Spatio-Temporal Statistical Approaches for Exposure Assessment and Causal Inference Veronica Berrocal Wadsworth
Sports Analytics Gregory J. Matthews Salon A
Statistical Learning Zuofeng Shang Salon C
The Role and Advances of Principled Statistical Inference in the Era of Data Science Kun Chen Ethan Allen
Inference Informed by Structure Krista Gile Nathan Hale North
Recent Advances in High Dimensional Data Analysis Tamara Broderick Nathan Hale South

Friday, May 17, 13:10-14:50

Session Title Organizer Room
Probability, Statistics and Geometry: A Special Session Honoring Rick Vitale Jun Yan Ethan Allen
Novel Methodology and Application of Machine Learning Techniques in Data Science Jiwei Zhao Nathan Hale South
Statistical Tools for Addressing the Opioid Epidemic Zehang Richard Li Wadsworth
Challenges and New Advances in Complex Clinical Trials Shuangge Ma Salon B
Data Science in Action at IBM Chief Analytics Office Yasuo Amemiya Salon C
Some Applications of Data Science in Industry Balaji Raman Silas Deane
Novel Statistical Methods for Data Science: Discrete Data, Time Series and Data Integration Daoji Li Mark Twain
Statistical Advances in Microbiome Data Analysis Aditya Kumar Mishra Colt Boardroom
Robust Statistics for Data Science Tian Zheng Nathan Hale North
NESS Leadership Forum for Statistics/Data Science Professionals Rui (Sammi) Tang Salon A
Spatial Data Analysis and Text Data Analysis Gavino Puggioni Saratoga A

Friday, May 17, 15:10-16:40

Plenary Closing Session

  • Chernoff Lecture by the inaugural Chernoff Awardee (whose identity is to be revealed on the spot)

  • Award ceremony (IBM Student Paper, Liberty Mutual Student Poster, and Travelers Statathon)