Students

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 (2024 – 2025)

Andres Esteban Arguedas Leiva
Jordan Aron
Martha Barnard
Rui Cao
Matthew Caputo
Larry Chen
Christian Coffman
Simion De
Chloe Falke
Jamie Forschmiedt
Souradipto Ghosh Dastidar
Nicolas Gonzalez-Granda
Caleb Griffiths
Jiayi Hu
Zuofu Huang
Lingfeng Huo
Gregory Isaac
Ellery Island
Ziren Jiang
Bhargob Kakoty
Zhiyu Kang
Eunsan Kim
Gleb Kozienko
Michelle Leeberg
Jiakun Li
Jialing Liu
Limeng Liu
Yang Liu
Anja Logan
Han Lu
Mykhaylo Malakhov
Tanvi Mehta
Yuzi Mi
Alyssa Montgomery
Nicholas Musinguzi
Aidan Neher
Nidhi Pai
Nirali Patel
Sydney Presler
Zexi Rao
Victoria Rose
Nitya Shah
Milena Silva
Josey Sorenson
Apostolos Stamenos
Brent Strong
Aparajita Sur
Lindsey Turner
Leif Verace
Jiuzhou Wang
Wei Wang
Jack Wolf
Tiankai Xie
Kaifeng Yang
Can Zhang
Lujun Zhang
Sinian Zhang
Chen Zhao
Hengcheng Zhu
Amanda Brunton
Matthew Cao
Changfu Chen
Lap Pui Chung
Jennifer Czachura
Maria DeCesare
Jiaying Dong
Yuanlin Feng
Ryan Gavin
Adam Genda
Duolan Han
Xiaowen Han
Joshua Hebeisen
Haoyun Hou
Cheryl Huang
Aswin Jayaraaman
Yanwei Jin
Tyler Jubenville
Shuheng Kong
Yanqing Kong
Mark Lamin
Jonghyeok Lee
Sarah Leismer
Hongdi Li
Minyu Li
Yiheng Liu
Alise Mendoza
Devon Nerstad
Andrew Ness
Elizabeth Nicholas
Jon Ong
Keo Pangan
Benjamin Pedersen
Alex Pemberton
Shika Rai
Hina Rattu
Chelsea Reed
Tyler Richter
Christine Rinehart
Ruby Roettger
Duke Ruan
Aparna Srinivasan
Elise Steichen
Siming Sun
Bo Wang
Jianfeng Wang
Jiaying Wu
Lei Xuan
Zheqi Yin
Jialiang Yuan
Hanyin Zhou
Zechen Zhou
Abigail Alwin
Jonathan Barnes
Jennifer Bleifus
Michala Carlson
Emmanuel Chea
Meghan Devlin
Jendayi Dixon
Sennai Eskinder
Ashley Farnum
Lilian Fogland
Dominic Gomez
Anne Hackman
Lana Hantzsch
Bibin Joseph
Taylor Lanz
Kim-Thao Le
Samuel Lee
Jiayu Lin
Taichi Miyazaki
Hamza Mohamoud
Alyssa Mondelli
Tenzin Nyima
Olusewa Obadiya
Katrin O’Grady
Morgan Pak
Brandon Payne
Olivia Plamann
Lechen Shen
Lina Thiel
Sophie Wiitala
Lauren Witty
Selam Woldegerima
Mary Yeboah

Upcoming Student Presentations

No upcoming presentations at this time.

Recent Student Presentations

Date Name Adviser Title
Apr 28, 2025 Amanda Brunton Cavan Reilly The Predictive Accuracy of Clinical Covariates in Differentiating Staphylococcus Aureus Bacteremia With and Without Deep-Seated Foci of Infection via Application of Different Variable Selection Methodologies
Mar 11, 2025 Losha Ndemeno-Tegomoh Anne Eaton A Comparison of Statistical Methods for Variable Selection Under Competing Risks: Modelling Death Possibly Related to Total Pancreatectomy with Islet Auto Transplantation (TPIAT)
Jan 16, 2025 Bibin Joseph Ann Brearley Disability Health Equity Dashboard Prototype for Minnesota Department of Health
Dec 23, 2024 Tyler Richter Julian Wolfson A Comparison of Average Treatment Effect Estimation Under High-Dimensionality Using Causal Forest (CF) and Causal Bayesian Adaptive Regression Trees (CBART)
Dec 16, 2024 Benjamin Pedersen Julian Wolfson A Volumetric MRI Pipeline for Mapping Pediatric Brain Development: Establishing Reference Ranges for Neurosurgical Applications
Dec 13, 2024 Aparajita Sur David Vock Statistical Methods for Time-Varying Adaptive Interventions
Aug 30, 2024 Jiuzhou Wang Eric Lock Statistical and Machine Learning Methods for Multi-View Multi-Cohort Biomedical Data
Aug 22, 2024 Jianfeng Wang Ann Brearley Evaluating the Effectiveness of Multiple Imputation on 30-Day Mortality Analysis in Elective General Surgery
Aug 19, 2024 Quinton Neville Lin Zhang & Sandra Safo Random Covariance Models, Functional Brain Networks, and Interpretable Deep Learning for Multiomic Data Integration
Aug 13, 2024 Kollin Rott James Hodges & Jared Huling Practical Improvements in Causally-interpretable Meta-analysis and Transportability
Aug 12, 2024 Kailash Rohit Velusamy Lianne Siegel Meta-Analysis Study Examining the Association Between Telehealth Expansion and Quality of Care in Minnesota
Jul 30, 2024 Justin Clark James Hodges & Jared Huling Novel Approaches to Generalizing Results from Randomized Trials
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