CV (under construction)

Education

PhD in Biomedical Engineering, Johns Hopkins University (JHU), 2018 - 2023 (expected)

Highlighted courses: Neuro Data Design, Matrix Theory, Neuroscience and Cognition, Probability and Statistics

B.S. in Bioengineering, University of Washington (UW), 2014 - 2018

Minor in Applied Mathematics
Graduated summa cum laude (top 0.5% of class)
Highlighted courses: Neural Coding and Computation, Neural Engineering, Neural Tech Studio, Computational Methods of Data Analysis, Data Structures and Algorithms, High Performance Scientific Computing

Research experience

PhD student, Neurodata lab, Summer 2018 - Present

Advisor: Joshua Vogelstein
Co-lead developer of GraSPy, a Python package for statistical analysis of network-valued data
Current project: Analysis of Drosophila larva brain connectome in collaboration with Carey Priebe (JHU), Albert Cardona (MRC LMB/Cambridge), and Marta Zlatic (MRC LMB/Cambridge) groups

Computational Neuroanatomy Intern, Allen Institute for Brain Science, Summer 2017

Advisor: Nuno da Costa
Developed quality control metrics for image alignment in Python, part of an effort to collect electron microscopy images from a cubic millimeter of mouse visual cortex

Undergraduate Researcher, Restorative Technologies Lab, Summer 2016 - Spring 2018

Advisors: Chet Moritz, Sarah Mondello
Designed and built a system for delivering optogenetic stimulation to the spinal cord in a rat model of spinal cord injury, while measuring temperature production
Investigated optogenetic stimulation parameters for biocompatibility

Education