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 2019-2020 Biostatistics Student Seminar page.
Meet Our Students
|Katherine (Alex) Knutson|
|Andres Arguedas Leiva|
|Sai Kaushik Shankar Ramesh Kumar|
|Zeya (Olivia) Zang|
Upcoming Student Presentations
There are no upcoming events at this time.
Recent Student Presentations
|Chao Zhang||Chap Le||Comparison of Baseline Characteristics in Randomized Clinical Trials|
|Rui Cao||Weihua Guan||Novel Influential Genetic Loci on Kidney Post-transplant Outcomes|
|Mohamad Burjak||Jared Huling||Adapting Stratified LASSO Regression and Post-Selection Inference Methods To Predict Subgroup Level Early Hospital Readmission Among Diabetes Patients|
|Andrew DiLernia||Lin Zhang & Mark Fiecas||New Estimation and Inferential Methods for Functional Connectivity Analysis|
|Melissa Wong||Mark Fiecas||The Moderating Effect of Depression on Early Life Adversity and Marijuana Use|
|Wyatt Tarter||Mark Fiecas||Reliability Analysis of Sliding Windows Assessing Dynamic Functional Connectivity on fMRI Data|
|Kate Noel||Weihua Guan||metImpute: Machine Learning Models for Cross-Platform Imputation of DNA Methylation Data|
|Sai Kaushik Shankar||Weihua Guan||Application of Supervised Principal Component Analysis to Epigenome-wide DNA Methylation Data|
|Alex Knutson||Wei Pan||Integrating Summarized Imaging and Genomic Data With GWAS for Powerful Endophenotype Association Testing in Alzheimer’s Disease|
|Finn Roberts||Julian Wolfson||Integrating Survey Methods with Mobile App Data for Social Contact Imputation|
|Yuxin Guo||Eric Lock||An Application of Bayesian GWAS with Structured and Non-Local Priors on Current Smokers in the COPDGene Study|
|Cassandra Johnson||Lynn Eberly||Childhood Trauma Clusters Among Women With Bulimic-Spectrum Eating Pathology: Relationship With Psychological Disturbance in Adulthood|