Ontario Graduate Scholarship Award Winners

The Ontario Graduate Scholarships (OGS) program recognizes and supports students leading ground-breaking research and demonstrating exceptional dedication. This year, five outstanding scholars from the Department of Statistics have been awarded this honour. Distinguished for their innovative research and academic accomplishments, they are pushing boundaries in the fields of Bayesian computation, statistical genetics, mathematical finance, and more.

	Anthony Coache Recently recognized with a DoSS Doctoral Early Research Excellence Award and the SIAG/FME Conference Paper Prize, Ph.D. candidate, Anthony Coache, is quickly becoming a familiar face at DoSS for high-quality research at the intersection of reinforcement learning and risk management.
	Jianhui Gao Jianhui Gao is a second-year Ph.D. candidate and CANSSI Ontario STAGE trainee focusing on semi-supervised methods for health data. Under supervision by Professors Jessica Gronsbell and Lei Sun, Gao is paving the way for advances in electronic health records, medical imaging data, and genetic data.
	Morris Greenberg Morris Greenberg blends his training in Biostatistics and Statistics Education with Bayesian modeling and programming, aiming to create scalable methods for complex healthcare data. With a master's in Statistical Science from Duke University and industry experience in empirical research, Greenberg brings a multi-disciplinary perspective to statistical challenges.
	Ziang Zhang Ziang Zhang is a third-year Ph.D. candidate and a CANSSI Ontario STAGE Trainee. Guided by Professors James Stafford and Patrick Brown, Zhang’s research focuses on applied and computational statistical methodologies and their applications in public health and genetics. His work has been recognized with awards and grants including the Mary H. Beatty Fellowships and the DSI-McLaughlin Centre Polygenic Risk Score Grant.
	Robert Zimmerman Robert Zimmerman Ph.D. student specializing in Bayesian computation under the mentorship of Prof. Radu Craiu. Zimmerman's focus on hierarchical modeling and efficient implementation of MCMC techniques coupled with professional experience in statistical risk modeling, uniquely equips him to tackle complex problems.

Join us in congratulating our OGS award winners! We look forward to their continued success.