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.

PhD Student in Computer Science.

I am a Ph.D. student in the CS department at UNC-Chapel Hill. Currently, I am supervised by professor Natalie Stanley in the CompCyLab. My current research interest is to explore deep learning methods on graph and cytometry data. Previously, I did some work on generative models especially the continuous normalizing flow model on set data.

Education:

B.E. in Intelligent Science and Technology, Nankai University

B.S. in Mathematics and Applied Mathematics (dual degree), Nankai University

M.E. in Computer Science and Technology, Nankai UniversityResearch

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 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.

Undergraduate Student in Computer Science.

I am an undergraduate sophomore majoring in Computer Science and minoring in Data Science at UNC Chapel Hill. My research currently focuses on single-cell analysis and mapping with a focus on cancerous tumors, but I have also worked with medical data processing and improving personalized health interventions through artificial intelligence and machine learning in the past. My hobbies include dance, reading, and visiting new places.

Undergraduate Student in Computer Science.

I am an undergraduate sophomore at UNC pursuing a B.S. in Computer Science as well as minors in Data Science and French. I am interested in the intersection of computer science and medicine, specifically in analyzing single-cell data and using machine learning to study the immune system. In my free time, you can find me reading, running, and trying to find the best iced vanilla latte in Chapel Hill!

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

Current Position: Postdoc at Stanford (Mike Angelo Lab)