Biostatistics students in both the Masters and PhD programs are immersed in the division, assisting on high-impact national and international research projects, supporting the Division’s course offerings, and conducting their own research. Our students work closely with faculty advisers; with a student-to-faculty ratio that is one of the lowest among leading Biostatistics programs, students are able to get the training and personal attention they need to maximize their potential.

Students are actively involved in organizing both academic and social activities. The Student Seminar Series provides an opportunity to present and discuss work in progress, practice presentations for upcoming conferences, and learn new computing skills. Student seminars are typically closed to faculty.

Meet Our Students

Jaron Arbet
Andy Becker
Roland Brown
Jessica Butts
Charles Cain
Sandra Castro-Pearson
Jennifer Czachura
Chuyu Deng
Yangqing Deng
Andrew Dilernia
Clara Drew
Anne Eaton
Chen Gao
Carrie Groth
Lillian Haine
Brian Hart
Jin Jin
Adam Kaplan
Katherine (Alex) Knutson
Brandon Koch
Ales Kotalik
Qinshu Lian
Grace Lyden
Tianmeng Lyu
Maria Masotti
Shannon McKearnan
James Normington
Elise Northrop
Michael O’Connell
Evan Olawsky
Jun Young Park
Jack Pattee
Ross Peterson
Isabelle Schoppa
Souvik Seal
Carlos Serrano
Lianne Siegel
John Ssenkusu
Zhenxun Wang
Chong Wu
Zhiyuan Xu
Yi Yang
Yuan Zhang
Xiaoyue Zhao
Jincheng Zhou
Meghana Bhimarao
Katie Casty
Siyu Chen
Nora Forbes
Rebecca Freese
Han Fu
Elizabeth Gearhart
Jane Grinqauz
Bin Guo
Yuanyuan Ji
Ziyu Ji
Adam Kaplan
Alexey Korzhov
Brian Kwan
Hui Li
Yan Li
Xiaoyue Ma
Nicholas Marka
Kusha Muhammadi
Brett Peterson
Michael Petzold
Yenan Ren
Nicholas Roetker
Nathan Rubin
Karin Sather
Kan Shang
Luoxi Shi
Michael Shyne
Claire Smith
Katelyn Tessier
Mengli Xiao
Yi Yang
Meng Yao
Jie Yu

Upcoming Student Presentations

There are no upcoming events at this time.

Recent Student Presentations

Name Advisor Title
Brett Peterson Jim Neaton Quantifying the Effect of Centralized Data Cleaning and On-Site Monitoring on the Findings from a Randomized Study
Yanan Ren Haitao Chu Performance of Meta-Analysis Methods with Rare Events Using the Cochrane Systematic Reviews
Katie Casty Joe Koopmeiners Estimating the Classification Accuracy of Biomarkers of Compliance in Studies of Very Low Nicotine Content Cigarettes
Cynthia Basu Brad Carlin Bayesian Hierarchical Models for Data Extrapolation and Analysis in Rare and Pediatric Disease Clinical Trials
Alex Kaizer Joe Koopmeiners Bayesian Hierarchical Modeling based on Multi-Source Exchangeability
Jeff Boatman David Vock and Joe Koopmeiners Causal Estimators for Non-Standard Scenarios: Individual Versus Population-Level Causal Effects in Transplantation Treatment Regimes, and Clinical Trials where Compliance is Measured with Error
Caroline Groth Sudipto Banerjee and Gurumurthy Ramachandran Bayesian Models for Analyzing Worker Exposure to Airborne Chemicals During the Deepwater Horizon Oil Spill Cleanup and Response
Xiaoyue Zhao Dipankar Bandyopadhyay and Lynn Eberly Bayesian Modeling and Inference for Asymmetric Responses with Applications
Ben Brown Julian Wolfson and Wei Pan Variable Selection and Prediction in “Messy” High-Dimensional Data
Kristine Kubisiak Lynn Eberly Penalized Models on Non-conventional MRI Contrasts to Detect Subtle Abnormalities in White and Grey Matter in Multiple Sclerosis
Kusha Mohammadi Joe Koopmeiners Combining Data from a Phase I-II dose Escalation Study and a Follow-up Cohort for More Efficient Estimation
Nathan Rubin Lynn Eberly Identifying Impaired Awareness of Hypoglycemia in Type 1 Diabetics
© 2015 Regents of the University of Minnesota. All rights reserved. The University of Minnesota is an equal opportunity educator and employer. Privacy Statement