Welcome to our casual research seminar organized in the Department of Statistical Sciences at the University of Toronto. Our aim is to discuss new ideas with everyone in the department (students, postdocs, visitors, and faculty). Talks usually last around 30 minutes, followed by discussions. We welcome current research, overviews of emerging topics, statistics pedagogy, research methodologies, and more. Some pizzas will be offered before the seminar around 12:20pm.
Seminar organizers: Austin Brown & Archer Gong Zhang & Piotr Zwiernik
Meetings are on Tuesdays, 12:30pm (30 min talk + discussion), room: 9014, Ontario Power Building (pizza will be served around 12:20pm)
To sign up to give a talk, use our spreadsheet.
Upcoming talks
| Date | Speaker | Title | Remarks |
|---|---|---|---|
| Nov 19 | Kathleen Miao | Robust Elicitable Functionals | Internal Speaker |
| Nov 26 | Kevin McKinnon | BP3M: Bayesian Positions, Parallaxes, and Proper Motions derived from the Hubble Space Telescope and Gaia data | Internal Speaker |
| Dec 3 | Ruyi Pan | Improving statistical power of multi-modal association testing via de-variation | Internal Speaker |
| Dec 10 | Claire Yu | Speed up your computation: strategies and platforms | Internal Speaker |
Past talks
| Date | Speaker | Title | Remarks |
|---|---|---|---|
| Nov 12 | Skip for DoSS Postdoc Day on Nov 14 | ||
| Nov 5 | Nancy Reid | Some aspects of inference under model misspecification | Internal Speaker |
| Oct 29 | Jun Young Park | What makes good applied statistics research? Some recent case studies from neuroimaging statistics | Internal Speaker |
| Oct 22 | Piotr Zwiernik | Property testing in Gaussian graphical models | Internal Speaker |
| Oct 15 | no meeting | ||
| Oct 8 | Scott Schwartz | Incorporation of AI chatbots into STA130 | Internal speaker |
| Oct 1 | DSI Research Day | Skip | Skip |
| Sep 24 | Vianey Leos Barajas | Statistics Summer Research Clubs (AI for Baseball, Shark Statistics) | Internal speaker |
| Sep 17 | Biprateep Dey | Calibrated Uncertainty Quantification for Physical Sciences | Internal speaker |
- We would like to acknowledge funding from the Department of Statistical Sciences.