The 2026 ASA Midwest Regional Conference in Statistics and Data Science
The 2026 ASA Midwest Regional Conference in Statistics and Data Science
The 2026 ASA Midwest Regional Conference in Statistics and Data Science
Join us at the University of Minnesota this spring for two days of innovation, collaboration, and discovery in the heart of the Twin Cities.
When & Where
Dates: Thursday, May 28 – Friday, May 29, 2026
Venue: Bruininks Hall, University of Minnesota (East Bank Campus)
Location: Minneapolis MN
Local Host: Institute for Research in Statistics and It's Applications, School of Statistics, University of Minnesota
Registration is Open
Category | Early Bird (Ends Apr 15) | Regular (Ends May 21) | On-Site |
Students | $20 | $30 | $40 |
ASA Members | $90 | $120 | $150 |
Non-Members | $125 | $160 | $190 |
Program Highlights
We are bringing together leaders from across the Midwest to explore the evolving landscape of data science. The conference will feature: Keynote, Industry & Academic, Poster Session, Networking Reception.
Key Note Speakers
Karen Kafadar
Bio: Karen Kafadar is the Commonwealth Professor and former Chair of the Department of Statistics at the University of Virginia. She earned her B.S. and M.S. degrees from Stanford University and her Ph.D. in Statistics from Princeton University under the advisement of John W. Tukey.
Dan Nettleton
Bio: Dan Nettleton is Distinguished Professor of Liberal Arts and Sciences at Iowa State University. Since 2019, Nettleton has served as chair of the Iowa State Department of Statistics, one of the first and largest departments of statistics in the United States. He is a Fellow of the American Statistical Association and Fellow of the American Association for the Advancement of Science. Nettleton has been honored with awards for teaching, graduate advising, departmental leadership, and research. His research has involved the development of theory and methods for data-driven modeling, analysis, and prediction in areas such as molecular biology and sports.
Title: Predicting Winners in Sports and Health Communications
Abstract: Parametric statistical models are useful for estimating individual or team strengths and predicting the outcomes of competitions in various sports. This talk will use examples from sports, such as professional disc golf and NCAA basketball, to illustrate the utility of statistical modeling in sports. We will discuss how models useful for sports analysis can be extended to identify effective health communication strategies. In particular, we consider analysis of an experiment aimed at evaluating the perceived effectiveness and shareability of short messages intended to encourage colon-cancer screening. Each of thousands of subjects is presented with pairs of messages and asked to select the best message in each pair. Measurements of subject-specific and message-specific covariates are available. Goals of the analysis include (1) understanding the effects of message-specific covariates and their interactions with subject-specific covariates for shaping subject-specific message preferences, and (2) identifying the top-ranked messages to present to a future subject as a function of the subject’s covariate values (i.e., predicting winning messages). We will discuss the modeling and analysis strategy we use to address these goals.
Confirmed Speakers
- Saonli Basu, UMN
- Tracy Bergemann, BridgeBio
- Nick Beyler, Stitch Fix
- Fred Boehm, South Dakota State University
- Jonathan Bradley, University of Missouri
- Patrick Breheny, University of Iowa
- Joe Cavanaugh, University of Iowa Biostatistics
- Yuguo Chen, UIUC
- Haitao Chu, Pfizer
- Lindsey Dietz, Federal Reserve Bank of Minneapolis
- Somak Dutta, Iowa State University
- Ross Garberich, MHIF
- Yongyi Guo, UW-Madison
- Erika Helgeson, University of Minnesota
- Nathan Hubbell, Travelers Insurance
- Xiang Ji, Iowa State University
- Garvesh Raskutti, UW-Madison
- Christopher Saunders, South Dakota State University
- Dan Sewell, University of Iowa
- Larissa Stanberry, Minneapolis Heart Institute Foundation
- Siu-Hin Wan, MHI
- Nathan Wikle, University of Iowa
Scientific Committee
- Nick Beyler
- Tyler George
- Tianxi Li
- Harrison Quick
- Alejandra Quintos
- Larissa Stanberry
Local Host Committee
- IRSA Staff
- Anna Axell
Schedule
Program
2026 ASA Midwest Regional Conference in Statistics and Data Science
Venue: Bruininks Hall, University of Minnesota (East Bank Campus)
Day 1: Thursday, May 28, 2026
Time | Room/ Bruininks Hall | Event / Session | Speaker & Details |
|---|---|---|---|
08:15 AM – 08:45 AM | BruH 114 | Registration & Breakfast | Light breakfast provided |
08:45 AM – 09:00 AM | BruH 230 | Opening Remarks | Genevieve Melton-Meaux (University of Minnesota) |
09:00 AM – 10:00 AM | BruH 230 | Keynote Address | Karen Kafadar (University of Virginia) Statistical Research in Industry, Government, and Academe: Real-world Impacts |
10:00 AM – 10:30 AM | BruH 114 | Coffee Break | |
10:30 AM – 12:30 PM | BruH 230
| Parallel Session 1A (4 Talks) |
|
BruH 131B | Parallel Session 1B (4 Talks) |
| |
12:30 PM – 01:45 PM | BruH 114 | Lunch Break | Open for attendees. |
01:45 PM – 03:15 PM | BruH 230
| Parallel Session 2A (3 Talks) |
|
BruH 131B | Parallel Session 2B Industry & Applied (3 Talks) |
| |
03:15 PM – 03:45 PM | BruH 114 | Coffee Break | |
03:45 PM – 05:00 PM | BruH 230 | Industry Panel | Panelists
|
05:00 PM – 05:30 PM | Transition | 5-min walk from Bruininks Hall to UMN Campus Club | |
05:30 PM – 07:30 PM | Coffman Union, 4th Floor Campus Club | Poster Session & Mixer | Venue: Campus Club Light food & drinks provided (Cash Bar Available). |
Day 2: Friday, May 29, 2026
Time | Room/ Bruininks Hall | Event / Session | Speaker & Details |
|---|---|---|---|
08:30 AM – 09:00 AM | BruH 230 | Morning Coffee | Light breakfast provided |
09:00 AM – 10:00 AM | BruH 230 | Keynote Address | Dan Nettleton (Iowa State University) Predicting Winners in Sports and Health Communications |
10:00 AM – 10:30 AM | BruH 230 | Coffee Break | |
10:30 AM – 12:30 PM | BruH 230 | Session 3A Biostatistics & Health Outcomes (4 Talks) |
|
12:30 PM – 12:45 PM | BruH 230 | Award Ceremony & Closing Remarks | Student Poster Awards Presentation |
Poster Presentations
- William Asinger (University of Minnesota) – Network science for comparing police misconduct across cities
- Arkajyoti Bhattacharjee (The Ohio State University) – Privacy-Aware Nonparametric Modal Learning
- Mingxuan Bi & Anna Schellin (University of Wisconsin) – Do Words Slow Us Down? Fraction Processing Across Digit and Word Formats among College Students
- Li Chen (University of Minnesota) – Causality-Encoded Diffusion Models and Their Applications
- Yan-Han Chen (Iowa State University) – Neural solver for Wasserstein Geodesics and optimal transport dynamics
- Vivian Du (Carleton College) – Bayesian Models for Analyzing the Impact of Examiner Variability in Forensic Fingerprint Comparisons
- Mara Dukuly (University of Minnesota) – War and Literacy in Liberia: Regional Ethnic and Cohort Effects from the Liberian Civil Wars
- Jamie Forschmiedt (University of Minnesota) – Efficient item-level treatment effect estimation for questionnaire outcomes
- Shan Ghimire (Luther College) – Knee-VLM: A Multi-View VLM for Knee Radiograph Understanding
- Chen-Wei Hua (University of Minnesota) – Conformal Confidence Inference for Multiple Sources in Network Diffusion
- Hyun Jung Koo (University of Minnesota) – Angle-based Clustering
- Rohit Kanrar (Iowa State University) – Bayesian Semi-parametric Inference for Predicting Time Between Fouls for WNBA Players
- Alex Kuhn (University of Minnesota) – A scalable Bayesian framework for Galaxy emission line detection and redshift estimation
- Seulki Lee (University of Missouri-Columbia) – Exact Posterior Regression for Multinomial spatially referenced Data
- Seungwon Lee (University of Minnesota) – On the Asymptotics of Item Selection in Multidimensional Computerized Adaptive Testing
- Samipan Majumder (Iowa State University) – Model-based color quantization of images.
- Sara Mezuri (Oakland University) – Paired-Portfolio Trading: A Statistical Approach
- Jesse Miller (University of Minnesota) – distfreereg: An R Package for Goodness-of-Fit Regression Testing
- Steven Moen (University of Wisconsin) – I-ACRE: An Autoregressive Conditional Extremes Model for Incomplete Panel Data with Applications in Exoplanet Detection
- Alyssa Montgomery (University of Minnesota) – Accounting for Censorship on CDC WONDER through a Truncated Multinomial Sampling Approach
- Kazeem Ogunsusi (Iowa State University) – Conformal Prediction Sets for Random Forest via Out-of-Bag Calibration
- Kayode Okunola (Georgia State University) – Empirical Likelihood for Fair Classification using HGR Maximum Correlation
- Giuseppe Pangan (University of Minnesota) – Racial Disparities in ALS Progression: Findings From the ALS Natural History Consortium
- Mst Moushumi Pervin (Iowa State University) – Generalized Entropy Calibration for Inference with Partially Observed Data: A Unified Framework
- Jesse Schmolze (University of Wisconsin) – Learning Interpretable Time-Inhomogeneous Markov Operators for Financial Time Series
- Jiayi Sun (Case Western Reserve University) – Utilizing Integrated Data Systems to Improve the Estimation of People Experiencing Homelessness: A Systematic Review
- Prosper Aime Tchoumo (Iowa State University) – Parameter Estimation of Tempered Fractional Processes
- Jason Turk (Bowling Green State University) – A novel approach to clustering shape data using iteratively weighted vectors with k-means
- Xieheng Wang (University of Minnesota) – Decomposing Orienteering Performance into Speed, Stability, and Mistake Severity Using Split Time
- Chenfeng Wu (University of Wisconsin) – Privacy-based Network Data Protection against Adversarial Attacks
- Snigdha Yamajala (University of Minnesota) – Convergence or Conformity? Investigating Majority-Vote Dynamics in Multi-Model AI Ensembles
- Wenxuan Yin (University of Minnesota) – Testing Differences in LLM Responses Under Semantically Non-Variant Instruction Variations
- Rui Zhang (University of Minnesota) – Estimation of heterogeneous principal effects under principal ignorability
- Zhihao Zhao (University of Wisconsin) – Segmentation-Agnostic Multi-Mechanism Learning via Quasi-Gradient Descent with Theoretical Guarantee
Hotels and Location Information
Transportation
VISITOR GROUND TRANSPORTATION OPTIONS ABOUT THE UNIVERSITY OF MINNESOTA
The University of Minnesota (UMN) is in the Twin Cities. Its Minneapolis campus is split by the Mississippi River into East Bank and West Bank. The 2026 ASA Midwest Regional Conference in Statistics and Data Science will be held in Bruininks Hall on the East Bank. Our event will be on the East Bank.
ACCOMMODATION
Guests are encouraged to stay at Graduate Minneapolis , just a few blocks from Bruininks Hall. It is centrally located on the East Bank, offers shuttle service within five miles (schedule at the front desk), and is near parking and the East Bank light rail station.
Other hotel options may be available below.
TRANSPORTATION
University of Minnesota is served by Minneapolis–Saint Paul International Airport (MSP).
Taxi, Uber, and Lyft Details on ground transportation are available on the MSP Airport website. A taxi,Uber, or Lyft to campus or Graduate Minneapolis from the airport takes about 20-30 minutes, depending on traffic.
Light Rail Service is available from the airport to the UMN campus. Tickets can be bought at machines at the rail stations. Trains run every 10 minutes during peak hours and every 10 to 15 minutes at other times. Light Rail is a cheaper alternative to taxis, Uber, and Lyft. The trip takes about 45 minutes. Take the blue line from Terminal 1 or 2 to the US Bank Stadium station, then transfer to the green line heading east to campus. For Graduate Minneapolis, get off at the East Bank station, half a block from the hotel.
Hotels
Overnight Accommodation Options for Visitors
Are you looking for a place to stay overnight during your visit? The list below includes individual hotel web pages and contact information for accommodation on and near campus. Some of these options offer special rates for University of Minnesota visitors. Please call the hotels directly for reservations (unless the hotel link specifies special UMNrates). Be sure to ask for the University of Minnesota rate.
Graduate Minneapolis, Located on the U of M East Bank, 615 Washington Ave SE, Minneapolis, MN 55414, 612-395-4801 / 800-822-6757, graduateminneapolis.com
Hampton Inn & Suites Minneapolis University Area, Located close to the U of M East Bank 2812 University Ave SE, Minneapolis, MN 55414, 612-259-8797, hilton.com/en/hotels/mspuahx-hampton-suites-minneapolis-university-area/, Located off the light rail’s Green Line. Shuttle service to the East Bank is often available.
Courtyard Minneapolis Downtown, Located on the U of M West Bank 1500 Washington Ave S, Minneapolis, MN 55454, 612-333-4646 / 877-699-3216, marriott.com/hotels/travel/mspdc-courtyard-minneapolis-downtown/
Renaissance Minneapolis Hotel, The Depot, Located in Downtown Minneapolis, 225 3rd Ave South, Minneapolis, MN 55401, 612-375-1700, marriott.com/en-us/hotels/mspdd-renaissance-minneapolis-hotel-the-depot/overview/
Residence Inn Minneapolis Downtown at the Depot, Located in Downtown Minneapolis, 425 South Second Street, Minneapolis, MN 55401, 612-340-1300 / 866-211-4612, marriott.com/en-us/hotels/mspmw-residence-inn-minneapolis-downtown-at-the-depot/overview/
TownePlace Suites Minneapolis Downtown/North Loop, Located in the North Loop of Minneapolis, 525 Second Street North, Minneapolis, MN 55401, 612-340-1000 / 800-257-3000, marriott.com/en-us/hotels/mspts-towneplace-suites-minneapolis-downtown-north-loop/overview/ Call to book.
2Holiday Inn Express & Suites Minneapolis-Downtown (Convention Center), Located in Downtown Minneapolis 225 South 11th Street, Minneapolis, MN 55403 ihg.com/holidayinnexpress/hotels/us/en/minneapolis/mspdt/hoteldetail
Things to do in Minneapolis
Highlights Near the East Bank Campus
Whether you’re in town for a conference or looking to explore during your downtime, Minneapolis offers a fantastic mix of culture, nature, and history—especially around the University of Minnesota’s East Bank campus. During your visit on May 28–29, you’ll find that late May is a beautiful time to experience the city, with the spring foliage in full bloom and the Mississippi Riverfront bustling with activity.
While you are on campus, you can easily walk to several iconic spots without needing a car:
Weisman Art Museum: Located right on the UMN East Bank campus, this Frank Gehry-designed architectural gem is a must-see. Admission is free, and its rotating exhibits and stunning riverside location make it the perfect place for a quick, inspiring break between sessions.
Mississippi River & Stone Arch Bridge: Just a short walk from campus, you can stroll along the riverbanks or walk across the historic Stone Arch Bridge. It offers some of the best skyline views of Minneapolis and is a local favorite for a scenic afternoon walk.
St. Anthony Main: Located just across the river from the East Bank, this historic district features cobblestone streets, charming restaurants, and outdoor patios perfect for grabbing a meal or a drink by the water after a long day of meetings.
Bell Museum: If you have extra time, the Bell Museum (Minnesota’s official natural history museum) is located on the UMN St. Paul campus. It is a quick ride away and features incredible wildlife dioramas and a high-tech planetarium.
If you want to venture further, the METRO Green Line light rail runs directly through the East Bank campus and connects you quickly to downtown Minneapolis or downtown St. Paul, making it incredibly easy to navigate the Twin Cities without worrying about traffic or parking.
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