Q Club

The Q-Club, which is short for "Quantitative Club," is the departmental student organization, boasting over fifty members. Students speak on their research or share their internship and summer program experiences. Scheduled events take place approximately every Friday 2:00 pm - 2:45 pm with pizza being served. Q-Club will meet in Brown Hall Room #122 also known as Bloomer Auditorium.

Faculty members occasionally give talks as well, on topics ranging from "Math and Horror" to "An Outrageously Brief History of Mathematics."

All are welcome to attend; any questions please contact the club advisor, Lisa Torrey.

If you know of students interested in giving a talk during the semester, please contact Lisa Torrey. 

Additional activities planned by the club include a Piathlon (held on or near 3/14) and Euler's Birthday Party (on 4/15).

Q-Club Archive Page (Fall 2013 - Fall 2012)
Archive Page (Spring 2019 - Spring 2014)
Archive Page (Spring 2022 - Fall 2019)

FALL 2022

December 2: Speaker: Jamie Kuppel  Title: Building an Image/Video Search
Abstract: At this last Q-club of the fall semester, we'll welcome a SLU alum back to the department! Jamie is a member of the class of 2017. In his talk, he'll tell us about an image/video search system that he helped build at his current company, and he'll share what he's learned about tech careers during the five years since he graduated.

November 11: Speaker: Dr. Michael Sheard  Title: Why a Mathematician Can't Tune a Piano  Abstract: You can tune a piano, but you can’t tuna fish!  Actually, you can’t tune a piano, either, at least if you want the frequencies of the notes to satisfy some very simple mathematical relationships.  This talk will explain why.  You don’t need any background in music to understand the talk; also, the math involved is very basic, so feel free to invite your musically-inclined friends.

November 4: Title:  Asking good questions: A key to success in statistics and data science  Speaker: Susan Paddock, Chief Statistician, NORC (Univ. of Chicago)  Abstract: Our career success and personal fulfillment as statisticians and data scientists rely on our ability to ask good questions of ourselves and of others, and to engage with others who ask us good questions. However, as demonstrated by the existence of entire scientific disciplines devoted to asking good questions, it is not necessarily easy to do so. I will touch upon three domains encountered by statisticians and data scientists for which asking good questions can reveal important insights: navigating our career development, evaluating, and improving data quality, and leading our collaborators and teams to success.

Bonus eUSR sessions for an extended (virtual) QClub in Bloomer: 3:00-3:45 Graduate School Information Session with reps from Duke, Middlebury, Univ. of Washington, and Microsoft Research, 3:45-4:30 Panel Discussion about Careers with reps from Google, NY Yankees, US Census Bureau, and Wisconsin Health Services

October 28: Title: Art of Mathematics and Mathematics of Art Speaker: Dr. Gabriel Dorfsman-Hopkins  Abstract: Mathematical understanding is built in many ways, and among these, illustration has been a companion and tool since the very beginning.  Conversely, mathematical ideas have shined light on new avenues of artistic exploration for over a thousand years!   In the modern era, there has been an explosion of tools for computer graphics, animation, digital fabrication, 3D printing and more, opening new doors and techniques for anyone trying to explore the intersection of mathematical and artistic ideas.

In this talk I want to share my own walk along the boundary of the mathematical and the artistic, showcasing projects which give physical form to the abstract.  Some of these create interactive installations to communicate mathematical ideas broadly, while others gave sparks of inspiration to prove new theorems—and often both!  This talk should serve as an invitation for students who would like to explore this area with me—including through summer research—as well as a plug for the forthcoming makerspace I am co-founding with Dr. Angstadt.

This talk includes joint work with students (Daniel Rostamloo and Shuchang Xu), artists (Merle Maynard and Afroditi Psarra), and folks in industry (Bernat Espigule).

October 21: Title: Summer Fellowships in Data Science - At Q-club this week, hear from two Data Science majors about their summer fellowship projects.  Hope DonoghueWhat Characterizes a Winning Combination - Network Analysis using Sports Data.  Grace Bridge‘You’re a [Data] Wizard, Harry!’ - A Data Science Approach to Analyzing the Harry Potter Series.

October 7Title: Software Engineering Internships - At Q-club this week, hear from two Computer Science majors who did internships last summer.  Brandon Dickson was a Software Engineering intern at iXperience.   Charlie Reinhardt was a Software Development Engineer at Amazon Web Services. They'll talk about how they found their internships and what the experience was like.

September 30:  Title: Finding Hidden Jobs and Internships that You Want Speaker: Tom Fraatz (Center for Career Excellence) Abstract: As we approach application season, it’s important to look beyond buzzwords to find positions at organizations that may escape our attention. Join us for a discussion on using your degree in Math, Computer Science, Statistics, or Data Science to get a leg up on the market and sell yourself as the best candidate for the positions you want.

September 23: Title: Statistics for SLU  Abstract: At Q-Club this week, hear from two majors who did research projects this summer and produced statistical analysis of data collected here on campus.  Hailey Quintavalle and Trent Meyer are the speakers. 

September 16Title: Research Experiences for Undergraduates  Abstract: At Q-club this week, hear from two majors who did research projects this summer at other universities through an NSF program called Research Experiences for Undergraduates (REUs). Sarah Bellefleur: Comparing the Most Likely Path of Drifters in Laminar and Turbulent Flow.  Ned SmithClassification of Protein Binding Sites using Statistical Learning. They'll present their projects and talk about what REUs are like and how to find them.

September 9 - Title: Deep Learning for Image Data. Abstract: At Q-club this week, hear from two CS majors who did research projects this summer as Clare Boothe Luce fellows. Laura Bolduc: Identifying Animals in Game Camera Images with Deep Learning.  Grace Cicchinelli:  Denoising Protein Images with Deep Learning. They'll present their projects and talk about what summer research at SLU is like.September 2 - Title: Tales of Two Summer Internships. Abstract: At Q-club this week, hear from two majors in the department who did internships last summer. Paige Delaney was a Tax, Technology, and Transformation summer intern at Ernst and Young. Cassandra Richter was a data analytics intern working remotely for Diib Inc. They will talk about how they found their internships and what the experience was like.

August 26 - Title: Welcome Back Majors!  Abstract: At this first Q-club meeting, faculty and majors (and intended majors) in Math, Computer Science, Statistics and Data Science are invited to enjoy some Sergi's pizza and celebrate the start of a new semester.