Assistant Professor of Computer Science.

[CV - Updated Jan 26, 2026]

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 primary research interest is in neuroimmunology and focuses on understanding how the immune system and the brain communicate in aging and neurodegeneration. She approaches these problems by developing bioinformatics approaches to study data generated by single-cell immune profiling technologies (scRNA-seq, CyTOF, flow cytometry, imaging mass cytometry.) Outside of work, Natalie enjoys running, yoga, reading fiction, and spending time with her cat, Médor.

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.

Master’s Student in Computer Science.

I am a Master's student in Computer Science and am currently interested in developing deep-learning based methods for spatial transcriptomics with applications to cancer immunology.

Undergraduate Student in Computer Science and Statistics

I am a junior studying Computer Science and Statistics at UNC–Chapel Hill. I am currently exploring my interest in the intersection of biology and technology. My research interests include applying machine learning and bioinformatics methods to single-cell and multimodal biological data, with a focus on understanding immune and aging-related processes.

Master’s Student in Computer Science.

Tripp is a former software engineer turned Master's student in Computer Science. He is currently working on single-cell machine translation approaches for cross-tissue analysis in the immune system. Aside from work, he enjoys cooking and video games.

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: Master’s student in data science at Columbia.

Position in the Lab: Phd student in applied math.

Research: Developing graph-based analysis techniques for single-cell and multiplexed imaging proteomic modalities.