First CANSSI-NISS Health Data Science Workshop

May 6-8, 2021

Nowadays, statisticians and health data scientists actively work together on the frontier of biological, medical, and public health research. The transdisciplinary collaboration not only develops the modern foundations of Health Data Science but also accelerates the pace of scientific discovery and innovation.

The First CANSSI-NISS Health Data Science Workshop will be held virtually on May 7-8, 2021. The workshop brings statisticians and health data scientists from the U.S. and Canada together to explore current approaches and new challenges for learning Big Data in Health Data Science.

The two-day workshop consists of two keynote presentations, four invited sessions, a speed, a late-breaking session, and virtual lunch & networking. The themed invited sessions will explore current approaches and new challenges in

(i) Statistical Issues with COVID-19,

(ii)  Statistical Problems in Imaging and Genetics,

(iii) Causal Inference for Big Health Data, and

(iv) Methods for Electronic Health Data, which are among the most important statistical research areas of Health Data Science.

Registration

Registration information will be added as we get closer to the event.  Coming Soon!

Organizing Committee 

Joel A. Dubin (University of Waterloo)
James L. Rosenberger (Penn State University and National Institute of Statistical Sciences)
Lingzhou Xue (Penn State University and National Institute of Statistical Sciences) 
Yeying Zhu (University of Waterloo)

 


Agenda

Plenary Speakers

Mary Thompson (University of Waterloo)

Mary is a Distinguished Professor Emerita in the Department of Statistics and Actuarial Science at the University of Waterloo, founding Scientific Director of the Canadian Statistical Sciences Institute (CANSSI), an elected Fellow of the Royal Society of Canada in 2006, and recipient of the Statistical Society of Canada's Gold Medal in 2003 and Lise Manchester Award in 2006 as well as the COPSS Elizabeth L. Scott Award in 2010.

Robert Tibshirani (Stanford University)

Robert is a Professor of Biomedical Data Science and Statistics at Stanford University, an elected Fellow of the Royal Society of Canada in 2001, an elected member of the National Academy of Sciences in 2012, an elected Fellow of the Royal Society in 2019, and recipient of the COPSS Presidents' Award in 1996 and the Statistical Society of Canada's Gold Medal in 2012.

Invited Sessions and Speakers

May 6
13:00-16:00 Short Courses (more information coming soon!)

May 7
10:00 - 10:15 Friday Opening Remarks
10:15 - 11:15 Plenary Talk
11:15 - 12:15  Speed Session for Graduate Students
12:15 - 1:00 Virtual Lunch
13:00 - 13:15 Break
13:15 - 15:00

Session 1:  Statistical Issues with COVID-19:

Rob Deardon (University of Calgary)   
Xihong Lin (Harvard T.H. Chan School of Public Health)
Grace Yi (Western University)  
Bin Yu (University of California, Berkeley)

15:15 - 17:00

Session 2:  Causal Inference for Big Health Data:

Debashis Ghosh (Colorado School of Public Health)
Erica Moodie (McGill University)
Dylan Small (The Wharton School, University of Pennsylvania)
Caroline Uhler (Massachusetts Institute of Technology)

May 8  
10:00 - 11:00 Plenary Talk
11:00 - 12:00 Late-Breaking Panel Session
12:00 - 12:45 Virtual Lunch
12:45 - 13:00 Break
13:00 - 14:45

Session 3:  Statistical Problems in Imaging and Genetics:

Brian Caffo (Johns Hopkins Bloomberg School of Public Health)
Radu Craiu (University of Toronto)
Linglong Kong (University of Alberta) 
Marina Vannucci (Rice University)  

15:00 - 16:45

Session 4:  Methods for Electronic Health Data:

Rebecca Hubbard (University of Pennsylvania)
David Madigan (Northeastern University)
Eleanor Pullenayegum (Hospital for Sick Children, and the University of Toronto Dalla Lana School of Public Health)  
Sherri Rose (Stanford University)

16:45 - 17:00 Closing Remarks

 

Event Type

Host

National Institute of Statistical Sciences
Canadian Statistical Sciences Institute

Location

Plenary Speakers: Mary Thompson (University of Waterloo) and Robert Tibshirani (St