Yutaka Yasui, PhD, BS

Email

yyasui@ualberta.ca

Degrees

PhD, Johns Hopkins University, School of Hygiene and Public Health, 1994 
BS, Kyoto University, School of Engineering, 1989

Awards

• Canada Research Chair, Canada Research Chair Program, 2005-2015
  
• Killam Annual Professor Award, Research, Teaching and Service, University of Alberta. 2012- 2013
• Health Senior Scholar Award, Alberta Innovates - Health Solutions, 2006-2013
• Award of Excellence in Graduate Teaching, Public Health Sciences Students' Association, 2009
• Award of Excellence in Graduate Teaching, Public Health Sciences Students' Association, 2007
• A.M.T.R.A. (Advising, Mentoring, and Teaching Recognition Award) from The Student Assembly, School of Hygiene and Public Health, Johns Hopkins University.  May 1995.
• Faculty Award (for excellence in teaching/advising) from Student Coordinating Committee, Department of Health Policy and Management, School of Hygiene and Public Health, Johns Hopkins University, May 1995
• Delta Omega Public Health Honor Society, School of Hygiene and Public Health, Johns Hopkins University, May 1994
• Phi Beta Kappa, Alpha Chapter of Maryland, Johns Hopkins University, May 1994
  
  

Keywords

• Biostatistics 
• Statistical/Machine Learning
• Bioinformatics
• Genetics
• Genetic Epidemiology 

Partnerships

Research collaborations within the University of Alberta:

• Department of Computing Science (Alberta Machine Intelligence Institute)
  

Research collaborations with other academic institutions:

• St. Jude Children’s Research Hospital, United States
• Fred Hutchinson Cancer Research Center, United States
• Catalan Institute of Oncology, Spain
• University of Oxford, UK
  
• The Hospital for Sick Children, Canada
• University of Tokyo, Japan

Collaborations with non-governmental organizations:

• TB/HIV Research Foundation, Thailand
  

Collaborations with governmental organizations:

• Alberta Health Services, Canada

Personal Interests

• Cooking
• Biking
• Acoustic guitar
• Classical music
• Traveling
  

My team's current research is focused on developing and applying data-analytic methods for understanding genetic contributions to human disease/health, utilizing exceptionally-well characterized, large biological and clinical data.  In particular, we are focused on late sequelae of cancer therapies among long-term childhood cancer survivors, utilizing two large cohort studies with the next generation sequencing data, Childhood Cancer Survivor Study and St. Jude Lifetime Cohort Study.  See, for example, a current US NIH-funded project my team is working on.

Supervision

Currently accepting MSc and PhD students, and postdoctoral fellows with strong backgrounds in quantitative and biological sciences.  Please contact me by email if you are an applicant with high potential and interest for research in the intersection of these fields: due to the large number of inquiries I receive, I will only be able to reply to those with sufficient demonstrations of the high potential.  All trainees of my research team are supported financially by Graduate Research Assistantship or Postdoctoral Fellowship throughout their tenure in the team, with additional support for attending relevant scientific conferences and necessary work space/computing needs.