I am a postdoc in the Pearson Lab at Duke University studying machine learning and statistical techniques to facilitate real-time analysis of neural data. I am interested broadly in the design and construction of new measurement and analysis methods in the streaming setting.

I am starting my own lab at the University of Michigan in January 2023. I will be recruiting for my lab soon - feel free to reach out if you are interested!

I studied both physics and computer science as an undergraduate at NC State University. Following my love of understanding complex networks, I then did an electrical & computer engineering masters and physics PhD at Duke University, focusing on low temperature quantum transport. After graduation, I shifted focus to a field with even more complicated systems to detangle: neuroscience.

Outside of my research I enjoy reading, MMA, teaching my dogs new tricks, and dancing with my husband.

Recent News

June 29, 2021: I am excited to announce that I have been awarded a 2021 Career Awards at the Scientific Interface by the Burroughs Wellcome Fund. See the announcement here.

June 16, 2021: Come check out my poster and trainee award talk at the 2021 BRAIN Investigators Meeting. I would love to chat with researchers interested in running adaptive experimental designs in their own labs.

January 24, 2021: Duke Research Week will showcase a lot of exciting work going on across all areas at Duke. Check out my talk and others at the Graduate scholar and Postdoc session happening soon.

September 8, 2020: I am honored to have been selected as a Swartz Fellow for Theory in Neuroscience! See the write-up here.