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. For a list of upcoming and previous student seminar presentations as well as other student resources, visit our Biostatistics Student Seminar page.

Meet Our Students

Michael Anderson
Andres Esteban Arguedas Leiva
Jordan Aron
Martha Barnard
Rui Cao
Wenhao Cao
Justin Clark
Christian Coffman
Simion De
Chloe Falke
Jamie Forschmiedt
Souradipto Ghosh Dastidar
Nicolas Gonzalez-Granda
Caleb Griffiths
Zuofu Huang
Lingfeng Huo
Gregory Isaac
Ellery Island
Ziren Jiang
Bhargob Kakoty
Zhiyu Kang
Eunsan Kim
Jonathan Kim
Jiakun Li
Jialing Liu
Limeng Liu
Yang Liu
Han Lu
Mykhaylo Malakhov
Tanvi Mehta
Yuzi Mi
Alyssa Montgomery
Nicholas Musinguzi
Aidan Neher
Quinton Neville
Nidhi Pai
Nirali Patel
Sydney Porter
Zexi Rao
Kollin Rott
Nitya Shah
Milena Silva
Wyatt Singh
Michelle Sonnenberger
Josey Sorenson
Apostolos Stamenos
Brent Strong
Aparajita Sur
Lindsey Turner
Leif Verace
Jiuzhou Wang
Wei Wang
Zheng Wang
Solvejg Wastvedt
Jack Wolf
Tiankai Xie
Kaifeng Yang
Lujun Zhang
Chen Zhao
Hengcheng Zhu
Tamier Bao
Emma Bidwell
Emma Billmyer
Amanda Brunton
Matthew Cao
Rachel Cho
Lap Pui Chung
Jennifer Czachura
Jiaying Dong
Ryan Gavin
Katherine Giorgio
Jessica Hellner
Jiayi Hu
Elzbieta Jodlowska-Siewert
Tyler Jubenville
Julia Kancans
Mark Lamin
Sarah Leismer
Esteban Lemus Wirtz
Yiheng Liu
David McGowan
Losha Ndemeno-Tegomoh
Andrew Ness
Elizabeth Nicholas
Denis Ostroushko
Brandon Payne
Benjamin Pedersen
Hina Rattu
Tyler Richter
Christine Rinehart
Ruby Roettger
Boya Shi
Aparna Srinivasan
Elise Steichen
Siming Sun
Kailash Velusamy
Jianfeng Wang
Zilin Wang
Yaqiao Wei
Cheng-Chang Wu
Yang Xie
Xizhi Xu
Bohua (Edward) Zhai
Can Zhang
Yuntian Zuo
Jonathan Barnes
Jennifer Bleifus
Michala Carlson
Santiago Charry
Emmanuel Chea
Meghan Devlin
Jendayi Dixon
Ashley Farnum
Anne Hackman
Bibin Joseph
Taylor Lanz
Kim-Thao Le
Jiayu Lin
Alyssa Mondelli
Tenzin Nyima
Olusewa Obadiya
Olivia Plamann
Lechen Shen
Luis Silva
Lina Thiel
Sarah Vadnais
Charly Vang
Selam Woldegerima
Mary Yeboah

Upcoming Student Presentations

No upcoming presentations at this time.

Recent Student Presentations

Name Adviser Title
Solvejg Wastvedt Julian Wolfson & Jared Huling Fairness Estimation for Small and Intersecting Subgroups in Clinical Applications
Edward Zhai Joe Koopmeiners Simulating Key Characteristics of the Development and Validation of a Clinical Risk Prediction Tool
Sydney Porter Tom Murray & Anne Eaton Innovations in Dose-Finding Designs using Bayesian Methods
Jessica Hellner David Vock Survival Outcomes Between SLK and LTA in Different Subgroups of Patients Awaiting Liver Transplantation Using Propensity Score Matching Methods
Wenhao Cao Haitao Chu, Lianne Siegel & Saonli Basu Research Synthesis Methodology for Normative Data and Genetic Data
Jonathan Kim Eric Lock Bayesian Modeling of Multi-Source Multi-Way Data
Yuntian Zuo Benjamin Langworthy Competing Risk Analysis of Adverse Events for Gemcitabine-antibacterial Treatment on Multiple Discontinued Reasons
Zheng Wang Haitao Chu & Tom Murray Innovative Multivariate Meta-Analyses Methods for Diagnostic Tests and Multiple Treatments
Luis Silva Lynn Eberly Prediction of Tuberculosis Clusters in the Riverine Municipalities of the Brazilian Amazon with Machine Learning
Jiayu Lin Erika Helgeson Comparing Dynamic Survival Prediction Models: Landmarking vs. Joint Modeling, in Kidney Post-donation Outcomes
Neelanzana Paudel Xianghua Luo Impact of Cigarette Filter Ventilation on Biomarkers of Exposure and Self-Reported Tobacco Measures: A Validation Study
Yansong Wen Lianne Siegel Comparing Estimation Methods for Generalized Linear Mixed Models in Electronic Health Records Analysis: Privacy and Accuracy Considerations
© 2015 Regents of the University of Minnesota. All rights reserved. The University of Minnesota is an equal opportunity educator and employer. Privacy Statement