Meet Our PhD Students

Department of Biostatistics & Informatics

Historic Fitzsimmons Building in Summer


Ali Ashkanani

PhD Student

 

 


 

Arunangshu Sarkar

PhD Student

 

 


 

Bryn Evohr

PhD Student

 

 


 

Cheng-Chang Wu

PhD Student

 

 


 

Eduardo Romo

PhD Student

MPH: Biostatistics, University of California Irvine, 2024

BA: Public Health Studies, Johns Hopkins University, 2018


Thesis Adviser: Kevin Josey, PhD

Research Interests: Causal Inference and Environmental Health.

 

 


 

Ella Hagopian

PhD Student

MS: Biostatistics, ColoradoSPH, CU Anschutz

MS thesis title: “Viability of sequence balance minimization and information sharing as a doubly adaptive trial design.”

BA: Analytical Public Health, Statistics concentration, St. Olaf College

 

Thesis Adviser: Alex Kaizer, PhD

Possible Thesis Title:  “Covariate-adaptive randomization and information-sharing innovations in adaptive clinical trial designs.”

Research Interests: adaptive clinical trial designs, covariate-adaptive randomization, information sharing.

 

 


 

Jacob Kebe

PhD Student

BS: Mathematics (Statistics), Arizona State University

 

Thesis AdviserDebashis Ghosh, PhD

Research Interests: Causal Inference, Proximal Causal Inference, Transportability, Clinical Trial Emulation. 

Student Spotlight Series: Jacob Kebe

 

 

 


 

Jared Rieck

PhD Student

 

 

 


 

Jinal Shah

PhD Student

MPH: Biostatistics Concentration, New York University

BS: Mathematics, Criminal Justice Minor, University of Massachusetts Boston

Thesis Adviser: Ryan Peterson, PhD, & Yue Wang, PhD

Research Interests: Model selection, Post-selection Inference, Spatial Transcriptomics, Reproducibility.

Student Spotlight Series: Jinal Shah

 

 



Karen Kanaster

PhD Student

 

 

 


 

Lauren Gunn-Sandell

PhD Student

MPH: Epidemiology, ColoradoSPH

BS: Fermentation and Food Science, Colorado State University, Summa cum laude

 

Research Interests: Clinical trials, infectious disease, reproducibility, and research rigor.

Student Spotlight Series: Lauren Gunn-Sandell

 

 

 


 

Lei Wang

PhD Student

 

 

 


 

Lu Bai

PhD Student

 

 

 


 

Madelynn Schina

PhD Student

 

 

 


 

Mahfuza Haque Mahi

PhD Student

M.S.: Statistics, University of Dhaka, Bangladesh

B.Sc.: Statistics, University of Dhaka, Bangladesh

 

Thesis Adviser: Debashis Ghosh, PhD

Research InterestsCausal inference, Machine learning, Genomics, and Metabolomics.

Student Spotlight Series: Mahfuza Haque Mahi

 

 

 


Mojde Mir

PhD Student

 

 

 


 

Nannan Wang

PhD Student

 

 

 


 

Nanxi Guo

PhD Student

 

 

 


 

Opeyemi Jegede

PhD Student

 

 

 


 

Sarah Bird

PhD Student

 

 

 


 

Siyang Ren

PhD Student

B.S.: Statistics, Shanghai University of Finance and Economics

M.S.: Biostatistics, University of Minnesota

 

Adviser: Fuyong Xing, PhD

Thesis Topic Idea: Applying deep learning methods to medical imaging data.

 

 


 

Yanran Wang

PhD Student

 

 

 


 

Yanyan Xu

PhD Student

PhD: Genomic Medicine, Medical College of Georgia, Augusta University

Master: Fudan University, Shanghai, China

Undergraduate: Anhui Medical University, Anhui, China


Thesis Adviser: Yue Wang, PhD

Research Interests: High-dimensional multi-view data integration and dimensionality reduction.

 

 


 

Yifan Zhao

PhD Student

BS & MS: Bioinformatics and Computational Biology, Worcester Polytechnic Institute

Thesis Adviser: Camille Moore, PhD

Thesis Title: Evaluating Reference-Mixture Matching in Cell-Type Deconvolution with Single-Cell RNA-seq References

Research Interests: Genomics.

 

 


 

Yuanqing Liu

PhD Student

M.A.: Biostatistics, Brown University

B. Economics: Insurance, Shanghai University of Finance and Economics

 

Thesis Adviser: Alex Kaizer, PhD

Thesis Title: Bayesian Group Sequential Enrichment Design for Biomarker-Guided Adaptive Clinical Trials

Research Interests: Adaptive trial design, Bayesian modeling.

 


 

Ziwei Tian

PhD Student

M.S.: Biostatistics, University of Michigan

B.S.: Life Science Informatics, Statistics, University of Michigan

 

Research interests: Genomics, transcriptomics, and multiomics data integration; computational immunology; longitudinal and spatial data analysis; graphical models and network analysis; machine learning; deep learning.

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