I work at the intersection of computer science and neuroscience, where I believe fields like computational neuroscience and neurotechnology will yield cutting-edge technologies and ultimately—invaluable healthcare solutions.
From a young age, I've been infatuated with the brain. In high school, I spent several summers interning at the
University of Kansas Medical Center. I investigated the implications of the amyloid-β protein for Alzheimer's disease and the relationship between the gastrointestinal system and
spinal cord injury.
At Northeastern University, I began to notice remarkable parallels between computation and biological cognition. Since then, I've been investigating how those disciplines might inform or
advance each other. As a Research Fellow at the Children's Mercy Research Institute, I'm studying neonatal brain development by reconstructing the functional connectome: a map of the correlations in neural activity among brain regions, denoting which regions work synchronously with one another. I'm grateful for the opportunity to continue my
work at Boston Children's Hospital and Harvard Medical School this fall, where I'll use deep learning techniques to study fetal development.
Outside of the lab, I spend my time listening to Clairo and caring for my ever-growing collection of houseplants!
An optimal pre- and post-processing workflow for reconstructing brain networks to create individual connectomes from neonatal rs-fMRI data.
Users can play, stop, resume, skip, or queue additional songs as they listen from their Discord channel. Created during Women in Computing's annual Mini Hackathon.
Education
University of Kansas | University Honors Program | SELF Fellowship
B.S., Major in Applied Computing: 4.0 GPA, Minor in Biomedical Engineering: 4.0 GPA
May 2025 - May 2028
Lawrence, KS
Northeastern University | John Martinson Honors Program
Transferred, Major in Computer Science and Behavioral Neuroscience: 4.0 GPA
Sep. 2024 - Apr. 2025
Boston, MA
Experience
Incoming Research Fellow
Boston Children's Hospital & Harvard Medical School | NeuroIm Lab
Fall 2026
Boston, MA
Incoming Summer Scholar
University of Kansas Medical Center | Precision Neural Dynamics Lab
Summer 2026
Kansas City, KS
AI/ML Fellow
Break Through Tech | 2026-2027 Cohort
Mar. 2026 - Present
Remote
SELF Fellow
University of Kansas School of Engineering | Class of 2028 Cohort
Mar. 2026 - Present
Lawrence, KS
Co-Founder
Mar. 2026 - Present
Lawrence, KS
Summer Scholar/Research Fellow
Children's Mercy Research Institute | Advanced Neuroimaging Lab
June 2025 - Present
Kansas City, MO
Technical Skills
Languages: Python, Java, MATLAB, Bash, Racket, VHDL, HTML/CSS
Frameworks: FSL, AFNI
Developer Tools: GitHub, VS Code, Eclipse, SLURM
Libraries: NiPype, NiBabel, Matplotlib, NumPy, PyTorch, Brain Connectivity Toolbox, Statistics and Machine Learning Toolbox
