Junhao Zhu is a PhD student in the Department of Statistical Sciences (DoSS) at the University of Toronto (U of T). His advisors are Professors Dehan Kong (DoSS and Department of Mathematical & Computational Sciences, University of Toronto Mississauga) and Zhaolei Zhang (Departments of Molecular
Dayi (David) is a PhD student in the Department of Statistical Sciences (DoSS) at the University of Toronto. He works under the supervision of Drs. Gwen Eadie (DoSS and Department of Astronomy & Astrophysics), Roberto Abraham (Department of Astronomy & Astrophysics), and Patrick Brown (DoSS
CANSSI Ontario STAGE (STAGE), in partnership with the CGEn Host Genome Sequencing Initiative, invites Ph.D. students and postdoctoral fellows from across Canada to apply for a new opportunity: the CANSSI Ontario STAGE HostSeq Fellowship. STAGE offers research and
Come September 2021, Mauricio Vargas Sepúlveda, better known as Pachá, will be moving to Canada to start his Ph.D. in the U of T Department of Statistical Sciences (DoSS), under the co-supervision of Drs. Monica Alexander (DoSS and Sociology) and Rohan Alexander (DoSS and Faculty of Information).
Dr. Alina Selega, a postdoctoral fellow at the Lunenfeld-Tanenbaum Research Institute in Toronto, working under the supervision of Drs. Kieran Campbell and Hartland Jackson, received this top-up award for project “Multi-objective Bayesian optimization of hyperparameters in the analysis of highly
Dr. Emma Bell, a postdoctoral research fellow at Princess Margaret Cancer Centre in Toronto, is a biostatistician in a team that combines biology, statistics, and information engineering to ask biologically and clinically meaningful questions of genomics data. They aim to improve gynaecological
On December 22, 2015, the United Nations General Assembly established February 11 as the International Day of Women and Girls in Science “to recognize the critical role women and girls play in science and technology”. With this post we want to recognize and profile women in statistical
CANSSI Ontario STAGE (STAGE) is currently accepting applications from prospective trainees for the STAGE program. STAGE offers training and career development opportunities designed to cross-train individuals at the interface of genetics and population health sciences in genetic epidemiology