Faculty Member

Lei Sun Ph.D. in Statistics

Email Address(es)
sun@utstat.toronto.edu
Office Address
Department of Statistical Sciences 100 St. George Street Toronto, ON M5S 3G3
Website(s)
Lei Sun's Homepage
Division(s)/Office
Biostatistics Division
Position
Professor
SGS Status
Full Member
Appointment Status
Tenured

Research Interests

  • Statistical Genetics and Genomics

Education & Training History

  • 2001: Ph.D. in Statistics, University of Chicago, USA
  • 1995: B.S. in Mathematics, Fudan University, China

Other Affiliations

  • Department of Statistical Sciences, Faculty of Arts and Science (75%)
  • Division of Biostatistics, Dalla Lana School of Public Health (25%)

Primary Teaching Responsibilities

Current Research Projects

Statistical methodology projects:

  • 2014-2019, Statistical methods and computational tools for next-generation genetic studies of complex traits (CIHR, PI: Lei Sun; Co-Investigators: Andrew Paterson and Lisa Strug), $667,641.
  • 2013-2018, Joint analyses of multiple genetic variants and multiple trait phenotypes (NSERC, Individual Discovery Grant), $115,000.

Collaborative projects:

  • 2016-2019, Genetic epidemiology of cystic fibrosis (Cystic Fibrosis of Canda, CFC, PI: Lisa Strug), $361,713.
  • 2012-2017, Modification of cystic fibrosis phenotypes in the pancreas and gut (CIHR, PI: Lisa Strug), $1,070,395.

Training projects:

  • 2017-2022, Operations Support and Technology Development Funds, The Centre for Applied Genomics (TCAG) (Genome Canada – Genomics Technology Platforms, CO-I), $9,174,603.
  • 2017-2020, Health Science Collaborating Centre: Collaborating Centre for Statistical Omics, Canadian Statistical Sciences Institute (CANSSI, Co-PI), $10,000
  • 2010-2016, STAGE (Strategic Training for Advanced Genetic Epidemiology): An integrated program in statistical & epidemiological training for genetics with a population health impact (CIHR Training Grant, Co-PI), $1,774,814.

Representative Publications

A complete list at http://www.utstat.toronto.edu/sun/publications.html;  § indicating students; e.g.