Marcel Nutz
Columbia University
Room: M3 3127
This is a free event, but please register for this talk on CANSSI's website.
Michael Kupper
University of Konstanz
Room: M3 3127
Are you a Statistics, Actuarial Science, or Financial Analysis and Risk Management student?
Do you need help with course selection, grad checks, or course planning? Or maybe you have questions about plan modifications, minors, or other advising services?
Drop by our advising session for personalized support! This is your chance to prepare for the upcoming term and ensure you're on track to finish this one strong.
We look forward to seeing you there!
Celebrating Three Decades of Excellence, Community, and Legacy
Join us for an unforgettable evening as we commemorate the 30th Anniversary of the MQF program. This banquet dinner will honour our journey, celebrate our achievements, and recognize the individuals and milestones that have shaped our legacy over the past three decades.
Guests will enjoy dinner and speeches, highlighting our history and future vision. It’s a night to reflect, reconnect, and rejoice with longtime supporters, members, and new friends.
Event Details:
Date: Friday, June 6th, 2025
Location: FED Hall, University of Waterloo
Come celebrate 30 years of memories and milestones — we look forward to sharing this special occasion with you!
Bin Zou
University of Connecticut
Room: M3 3127
Peng Shi
University of Wisconsin-Madison
Room: M3 3127
Tim Swartz
Simon Fraser University
Room: M3 3127
Stanislav Uryasev
Stony Brook University
Room: M3 3127
Dean's Distinguished Women in Mathematics, Statistics and Computer Science Lecture Series & David Sprott Distinguished Lecture Series
Bin Yu
CDSS Chancellor's Distinguished Professor, Statistics, EECS, Center for Computational Biology
Senior Advisor, Simons Inst for the Theory of Computing
Member, U.S. National Academy of Sciences, 2014
Member, American Academy of Arts and Sciences, 2013
Guggenheim Fellow, 2006
Room: DC 1302
In this talk, I will introduce the Predictability-Computability-Stability (PCS) framework for veridical (truthful) data science, highlighting its critical role in producing reliable and actionable insights. I will share success stories from cancer detection and cardiology, showcasing how PCS principles have guided cost effective designs and improved outcomes in these projects. Since trustworthy uncertainty quantification is indispensable for trustworthy AI, I will discuss PCS uncertainty quantification for prediction in regression and multi-class classification. PCS-UQ consists of three steps: pred-check, bootstrap, and multiplicative calibration. Through test results over 26 benchmark datasets, PCS-UQ will be shown to outperform common forms of conformal prediction in terms of width, subgroup coverage, and subgroup interval width. Finally, the multiplicative step in PCS-UQ will be shown to be a new form of conformal prediction.
Are you a Statistics, Actuarial Science, or Financial Analysis and Risk Management student?
Do you need help with course selection, grad checks, or course planning? Or maybe you have questions about plan modifications, minors, or other advising services?
Drop by our advising session for personalized support! This is your chance to prepare for the upcoming term and ensure you're on track to finish this one strong.
| Date: | Wednesday, September 24, 2025 |
|---|---|
| Time: | 1:00 pm – 4:00 pm |
| Location: | M3 3127 |
Light refreshments will be provided.
We look forward to seeing you there!