2025 SBDS Trainees

Lucia Wagner, Pathology, Experimental Pathology

Systems Genetics of Osteoblast Activity

My research seeks to elucidate the genetic architecture underlying osteoblast (the “bone building” cell) function in order to better understand bone mineral density (BMD), a key determinant of osteoporosis risk. Utilizing the genetically diverse Diversity Outbred (DO) mouse strain, I integrate genome-wide association studies (GWAS) and single-cell RNA sequencing (scRNA-seq) to identify candidate causal genes and construct gene regulatory networks. Overall, this work aims to clarify how BMD-associated genomic loci mediate bone formation through osteoblasts and identify conserved genetic regulation between mice and humans, ultimately advancing the knowledge database of potential osteoanabolic therapies for osteoporosis.

Primary Mentor: Charles Farber, PhD

Secondary Mentor: Ani Manichaikul, PhD

Anna Grace Dickerson, Neuroscience

Elucidating control of energy balance and fertility using neural network modeling of cell-cell interactions with a logic-based machine learning prediction framework

My research focus is to map and quantitatively characterize kisspeptin’s interactions with surrounding cells and to build a logic-based machine learning model to predict functional network
dynamics with single-cell resolution. 

Primary Mentor: Edward Nieh

Secondary Mentor: Jeff Saucerman

Caitlin Sullivan, Biomedical Engineering

Glycosylation Signatures and Hofbauer Cell Dynamics as Determinants of Maternal-Neonatal Immune Transfer

Brief description of Research Focus: My research focuses on understanding how IgG Fc-glycosylation and placental macrophages, known as Hofbauer cells, modulate transplacental antibody transfer. Through integration of experimental and computational methods, my goal is to elucidate mechanisms of antibody transfer and incorporate them into mechanistic models that can serve as testbeds for rational prenatal vaccine design and inform strategies to enhance neonatal immunity. 

Primary Mentor: Sepideh Dolatshahi

Secondary Mentor: Karen Hirschi

Samuel Doak, Chemical Engineering

Spatial-transcriptomic heterogeneity of Pseudomonas aeruginosa colonies in a swim plate model

The complexity of infectious diseases demands a system-level approach to fully capture all the spatiotemporal changes gene expression and metabolism as an infection progresses. By studying how Pseudomonas aeruginosa transitions between motile and sessile states in a spatially heterogeneous environment, I aim to uncover regulatory and metabolic networks that drive virulence—work that requires computational tools and data integration strategies central to systems biology.

Primary mentor: Roseanne Ford

Secondary Mentor: Jason Papin

Robert Heussner, Biomedical Engineering

Modeling cell lineage dynamics throughout mouse brain development

I am interested in developing computational models that predict changes in cellular states and organization from high-dimensional single-cell data. In this project, I aim to understand system-level responses to prenatal alcohol exposure and evaluate potential therapeutic interventions.

Primary Mentor: Eli Zunder

Secondary Mentor: Jeff Saucerman

Adam Bates, Biomedical Engineering

Understanding the effects of diet and microbe-derived metabolites on colorectal cancer

Diet and the gut microbiome both play important roles in the development and progression of colorectal cancer. One way the gut microbiome impacts colorectal cancer is through metabolic byproducts that can impact both the tumor itself and the tumor microenvironment. The goal of my research is to better understand how different diets 1) shift the composition of byproducts that are secreted by the microbiome and 2) shape the impact of these byproducts on colorectal cancer.

Primary Mentor: Jason Papin

Secondary Mentor: Dave Kashatus

Ify Nwolah, Biomedical Engineering

Investigating Casein Kinase 2 (CSNK2A1) as a network driver of fibrosis

My research objective is to develop and experimentally validate a computational model that comprehensively characterizes the network mechanisms through which CK2 drives myofibroblast transformation.

Primary Mentor: Jeff Saucerman    

Secondary Mentor: Kristen Naegle

Past Year Cohorts

2024

Jeffrey Hsu, Biochemistry & Molecular Genetics

Audrey Kidd, Biomedical Engineering

Lavie Ngo, Biomedical Engineering

Mary O'Sullivan, Biomedical Engineering

William Shao, Biomedical Engineering

Madison Turner, Microbiology, Immunology, and Cancer Biology (MIC)

Yasmina Zeineddine, Biomedical Engineering
 

2023 

Gabe Hanson, Biomedical Engineering

Russell Hawes, Biomedical Engineering

Shay Ladd, Biomedical Engineering

Kris Pas, Biomedical Engineering

Jamel Simpson, Biophysics

Lionel Watkins, Biomedical Engineering

Yonatan Degefu, Biomedical Engineering

Candace Lei, Biomedical Engineering

Catalina Alvarez Yela, Biomedical Engineering

2022

Tien Comlekoglu, Biomedical Engineering

Remziye Erdogan, Biomedical Engineering

Mario Garcia, Biomedical Engineering

Emma Glass, Biomedical Engineering

Nathan LeRoy, Biomedical Engineering

Conner Moore, Biomedical Engineering

Contact Us

Connie Pace

Administrator, Systems & Biolecular Data Science Training Program

UVA BME | MR5 Room 2010

Phone: 434 243-7660

clp2uh@virginia.edu