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
Jordan Aron
Andy Becker
Sydney Benson
Jessica Butts
Rui Cao
Wenhao Cao
Sandra Castro-Pearson
Justin Clark
Christian Coffman
Jennifer Czachura
Simion De
Clara Drew
Chloe Falke
Souradipto Ghosh Dastidar
Benjamin Gochanour
Lillian Haine
Zuofu Huang
Monica Iram
Ziyu Ji
Zhiyu Kang
Jonathan Kim
Zhaotong Lin
Boyang Lu
Han Lu
Grace Lyden
Mykhaylo Malakhov
Maria Masotti
Tanvi Mehta
Aidan Neher
Quinton Neville
Elise Palzer
Nirali Patel
Jennifer Proper
Kollin Rott
Sarah Samorodnitsky
Nitya Shah
Milena Silva
Michelle Sonnenberger
Josey Sorenson
Aparajita Sur
Lindsey Turner
Kerrigan Urbi
Jiuzhou Wang
Zheng Wang
Solvejg Wastvedt
Jack Wolf
Mengli Xiao
Kaifeng Yang
Rachel Zilinskas
Robert Aidoo
Andres Arguedas Leiva
Kody Baron
Seth Bergstedt
Emma Bidwell
Yixun Chen
Eric Connor
Jiaqi Deng
Zhirui Deng
Samira Deshpande
Madelyn Duffy
Annika Fredrickson
Ryan Gavin
Katherine Giorgio
Maria Godinez
Jessica Hellner
Amelia Hoffbeck
Ajing Huang
Ziou Jiang
Ziren Jiang
Yiyao Jin
Anthony Johnson
Tyler Jubenville
Gregory Knowlton
Miranda Kunz
Damon Leach
Sarah Leismer
Jiayu Lin
Chen Ling
Jialing Liu
Jingqi Liu
Xiao Ma
Losha Ndemeno-Tegomoh
Mingming Pan
Neelanzana Paudel
Tyler Richter
David Schneck
Carlos Serrano
You-Shan Shen
Abby Vogel
Daniel Waller
Yansong Wen
Daniel Whitford
Yuanqi Yang
Linnea York
Zeya (Olivia) Zang
Qingyi Zeng
Bohua Zhai
Haozuo Zhao
Meng Ting Zhao
Yuntian Zuo

Upcoming Student Presentations

Recent Student Presentations

Name Adviser Title
Maria Masotti Lin Zhang & Joe Koopmeiners Bayesian Functional Spatial Partitioning Methods for Prostate Cancer Lesion Detection
Miranda Kunz Sandra Safo The Intersection of COVID-19 and HIV: Machine Learning Methods to Identify and Evaluate Risk Factors in a Large National Dataset
Grace Lyden David Vock Policy-Relevant Causal Effect Estimators for Heterogeneous Treatments and Exposures
Yiyao Jin Eric Lock Testing Interaction Effect of Disease and Treatment Using High-dimensional RNA-Sequencing Data
Damon Leach Mark Fiecas Measuring Pandemic Fatigue and Adherence During the COVID-19 Pandemic
Chuyu Deng David Vock & Joe Koopmeiners Innovative Methods for Treatment Effect Heterogeneity & Calibration
Yuan Zhang Thomas Murray & David Vock Modifications of Q-learning to Optimize Dynamic Treatment Regimes
Yunxiang Bai Wei Pan Mitigating Volatile Family Medicine Residency Clinic Schedules through Strategic Rotation Pairing
Lauren Makey Anne Eaton A Meta-Analysis of Two Clinical Studies of Targeted Lung Denervation in Patients with Moderate to Severe Chronic Obstructive Pulmonary Disease
Charles Cain David Vock & Thomas Murray Statistical Considerations for Clinical Trials Aiming to Identify Individualized Treatment Rules
Bin Guo Baolin Wu, Eric Lock, & Lynn Eberly Integrative Statistical Methods in Genomics and Neuroimaging
Shannon McKearnan Julian Wolfson & David Vock Statistical Methods for Organ Transplant
© 2015 Regents of the University of Minnesota. All rights reserved. The University of Minnesota is an equal opportunity educator and employer. Privacy Statement