Computational and Systems Biology
Aaron Spivak
Program: Computational and Systems Biology
Graduation Year: 2012
Thesis Advisor: Gary D. Stormo
Thesis Title: Identification of Combinatorial cis-regulation by Comparative Genomics
Ethan Stancliffe
Program: Computational and Systems Biology
Graduation Year: 2023
Thesis Advisor: Gary J. Patti
Thesis Title: Automated Processing of Metabolomics Data for Population-scale Studies
Erik Storrs
Program: Computational and Systems Biology
Graduation Year: 2025
Thesis Advisor: Li Ding
Thesis Title: Needle in the Z-Stack: Mapping the 3D Transition to Malignancy
Vasavi Sundaram
Program: Computational and Systems Biology
Graduation Year: 2016
Thesis Advisor: Ting Wang
Thesis Title: Identifying The Regulatory Role Of Transposable Elements In Mammalian Genomes
Lee Tessler
Program: Computational and Systems Biology
Graduation Year: 2011
Thesis Advisor: Robi D. Mitra
Thesis Title: Digital Protein Analysis: Technologies for Protein Diagnostics and Proteomics through Single-Molecule Detection
Francesco Vallania
Program: Computational and Systems Biology
Graduation Year: 2013
Thesis Advisor: Robi D. Mitra
Thesis Title: On the origin of phenotypic variation: novel technologies to dissect molecular determinants of phenotype
Nathan Wamsley
Program: Computational and Systems Biology
Graduation Year: 2025
Thesis Advisor: Michael B. Major
Thesis Title: “Methods for the Acquisition and Analysis of Quantitative, Bottom-Up Protein Mass Spectrometry Data”
Liang-Bo Wang
Program: Computational and Systems Biology
Graduation Year: 2021
Thesis Advisor: Li Ding
Thesis Title: Building a toolbox and insights toward proteogenomic characterization of glioblastoma
Tianjiao Wang
Program: Computational and Systems Biology
Graduation Year: 2025
Thesis Advisor: Li Ding
Thesis Title: "Advancing Precision Treatment of Multiple Myeloma with Single-Cell and Spatial Immune Profiling"
Michael Ward
Program: Computational and Systems Biology
Graduation Year: 2022
Thesis Advisor: Gregory R. Bowman
Thesis Title: Combining computer simulations and deep learning to understand and predict protein structural dynamics