Select Page

Janet McNally to Give “Last Lecture”

McNally_LastLectureJanet McNally, assistant professor in the Department of English, will deliver the fourth annual All-College Honors “Last Lecture” to the college community on Wednesday, April 20 at 7:00 p.m. in the Science Hall Commons.

The lecture series was inspired by a beloved professor at Carnegie Mellon University who, when faced with his imminent mortality, spoke from his heart about the simple but powerful lessons that he learned. Canisius All-Honors Program students selected McNally as this year’s speaker.

All are invited. Refreshments will be served.

Submitted by: Bruce Dierenfield, PhD, professor of history; director, All-College Honors Program

The UP-STAT Statistics Conference is Next Week

UP-STAT conference flyer 8.5x11-page-001Canisius College will host the Upstate Chapters of the American Statistical Association (UP-STAT) conference next week on Friday, April 22 and Saturday, April 23. Attendees and presenters from upstate colleges and universities and from Canada will be at the event.  Friday’s schedule features five tutorials (listed below) the Father Haus Memorial Lecture and a panel discussion entitled “The Multiple Facets of Data Science.”

Richard De Veaux, PhD, a prominent data scientist and educator, will present the Father Haus Lecture, entitled “Modeling the Effect of Age in Human Performance.”

Please consider attending the tutorials and other conference events.  Learn what is happening in the broad area of “big data.”

The schedule for Friday’s and Saturday’s tutorials is as follows:

  • “A Gentle Introduction to Statistical Learning Theory” – by Ernest Fokoue

Friday 9:00 a.m. – 11:00 a.m. – SH 1004

  • “An Excursion into Modern big Data Concepts and Computational Models” – by Xingchen Yu

Friday 9:00 a.m. – 11:00 a.m. – HO 109

  • “Kaggle Predictive Analytics with Random Forests and Boosted Trees” – by Padraic Neville

Friday 1:00 p.m. – 3:00 p.m. – SH 1013A

  • “Analyzing Gravitational Wave Data from the LIGO Open Science Center” – by John Whelan

Friday 1:00 p.m. – 2:00 p.m. – SH 1013B

  • “Practical Natural Language Processing” – by Emily Prud’hommeaux

Friday 2:00 p.m. – 3:00 p.m. – SH 1013B

  • “Tidy Data Analysis in R with dplyr, ggplot2, and broom” – by David Robinson

Saturday 10:00 a.m. – 12:00 p.m. – SH 1013A/B

Registration information can be found at

For further information, contact Mel Crotzer, PhD, adjunct professor, mathematics and statistics, at Ext. 2879 or Leonid Khinkis, PhD, professor, mathematics and statistics, at Ext. 2498.

Submitted by: Mel Crotzer, PhD, adjunct professor, mathematics and statistics