TOG is excited to announce that we would be having an AI-expert faculty speaker in collaboration with Databinge for this month's TOG Seminar Series. This month’s seminar will be held virtually. You can join the seminar via Zoom on November 25, 2022, at 12:30 PM PST. Details are available below:  
Topic: TOG Seminar Series (November)- Faculty Speaker
Zoom Link:
Meeting ID: 168 788 388
Passcode: 778293
Time: November 25, 2022, 12:30 PM to 1:30 PM Vancouver

Speaker: Dr. Jeff Clune
Talk Title:  AI Neuroscience: How much do deep neural networks understand about the images they classify?
Bio: Dr. Jeff Clune is an Associate Professor of computer science at the University of British Columbia and a faculty member at the Vector Institute. Jeff focuses on deep learning, including deep reinforcement learning. Previously he was a research manager at OpenAI, a Senior Research Manager and founding member of Uber AI Labs (formed after Uber acquired a startup he helped lead), the Harris Associate Professor in Computer Science at the University of Wyoming, and a Research Scientist at Cornell University. He received degrees from Michigan State University (PhD, master’s) and the University of Michigan (bachelor’s). More on Jeff’s research can be found at or on Twitter (@jeffclune).  
Since 2015, he won the Presidential Early Career Award for Scientists and Engineers from the White House, had two papers in Nature and one in PNAS, won an NSF CAREER award, received Outstanding Paper of the Decade and Distinguished Young Investigator awards, and had best paper awards, oral presentations, and invited talks at the top machine learning conferences (NeurIPS, CVPR, ICLR, and ICML). His research is regularly covered in the press, including the New York Times, NPR, NBC, Wired, the BBC, the Economist, Science, Nature, National Geographic, the Atlantic, and the New Scientist. 

We are always looking for speakers for the TOG Seminar Series. If you are interested in presenting or if you have any questions about presenting in the seminar series, email us at or sign-up at our website


View our upcoming seminars schedule on our GitHub!

The TOG monthly Seminar Series is a great opportunity for everyone to present their data, get feedback and network with fellow trainees and faculty!

If you are interested in presenting (this can be work-in-progress (WIP), practice for an upcoming conference, exit seminar, …), email us at!