Assistant Professor of Computer Science.

[CV - updated March 10, 2024]

Natalie is an Assistant Professor in Computer Science and Computational Medicine. She completed her postdoctoral training at Stanford with Nima Aghaeepour. Before that, she got her PhD at UNC with Peter Mucha. Natalie’s research interests are in flow cytometry, mass cytometry and imaging mass cytometry bioinformatics and specifically in identifying clinically-predictive components of the immune system that can be modulated for therapeutic effect. Lately, she has a particular interest in neuroimmunology, and understanding the interplay between the central and peripheral immune systems as assayed through single-cell technologies. Outside of work, Natalie enjoys running, yoga, and reading fiction (especially odd fiction).

PhD Student in Computer Science.

My current research intrest is to integrate single-cell data from multiple individuals and identify cellular correlates of complex phenotypes. I finished my undergraduate in Computer Science in National Taiwan Ocean University and worked at Biomedical Informatics Lab in NTUT for almost two years.

PhD Student in Bioinformatics and Computational Biology.

I am interested in discovering the underlying structure in biological systems using graph-based techniques. So far, my work in the lab has involved investigating temporal heterogeneity in T-cell responses to infection with my co-advisor, Justin Milner. My past research worked on understanding how cytokines and other biomarkers in blood plasma change systematically after birth. When I'm not in front of my computer, you can probably find me hiking or biking on a trail, playing guitar, or trying new foods.

Education: B.S. in Chemical Engineering, Northeastern University

PhD Student in Bioinformatics and Computational Biology

Luvna is a PhD student in bioinformatics and computational biology (BCB). She is currently working on studying how microglia adapt their genetic programs in aging and development.

PhD Student in Applied Mathematics.

I am a PhD student in the Math department, advised by Natalie. My current research interest is exploring the use of graphs in making the analysis of single-cell data both more efficient and more insightful. I’m especially interested in the study of imaging mass cytometry data at the moment. I received my undergraduate education in Applied Math/Computer Science at Texas A&M University. When I’m not at my computer or a chalkboard, I like to crochet, play sand volleyball, and sing.

PhD Student in Food Science.

I am a first year PhD student in Food Science. I am developing machine learning methods for multimodal integration of napping and eating. Prior to joining UNC, I completed undergrad at Stanford in ICME. My hobbies include flow cytometry and linear algebra.

Position in the Lab: PhD Student in Bioinformatics and Computational Biology

Research: Single-Cell Bioinformatics, Trajectory inference, RNA velocity

Current Position: Postdoc at Stanford (Mike Angelo Lab)

Position in the Lab : PhD Student in Computer Science

Research: Machine learning approaches for linking single-cell data to phenotype.

Current Position: Machine learning engineer at St. Jude’s Children’s hopsital.

Position in the Lab: Undergraduate student in computer science.

Research: Senior honor’s thesis in linking single-cell and bulk RNA sequencing datasets of microglia to aging and stress.

Current Position: Software Engineer.