Ph.D.  Neuroscience,  University of California, Berkeley

Helen Wills Neuroscience Graduate Program

National Science Foundation Graduate Fellow

Aug 2017 - Aug 2022

B.S. Biology, Honors,  University of Texas, Austin

Dean’s Scholars & Junior Fellows Honors Programs

Aug 2013 - May 2017

Technical Skills

Data Science: Machine Learning, classification & regression modeling,  supervised & unsupervised learning, time series analysis, statistical analysis, feature engineering, hypothesis testing, data interpretation, data visualization


Programming/Tools: Python, Matlab, RStudio, Version Control (Git), AWS

Research Experience

Graduate Student Researcher, Jose M. Carmena’s Lab, University of California, Berkeley                                          2017 - Present

    • Designed and conducted experiments in awake, behaving nonhuman primates using closed-loop brain-computer interfaces, and multi-site electrophysiology recordings to study large-scale network plasticity.

    • Designed and conducted experiments comparing the effects on mood of closed-loop microsimulation of prefrontal cortical brain regions to known anxiolytic drugs to develop systems-based neurotherapies.

    • Analyzed time-series neural, physiological, and kinematic data using machine learning and statistical analysis.

    • Presented key findings at international conferences (IEEE Neural Engineering, Society for Neuroscience) and local conferences (UC Berkeley Neuroscience, Center for Neural Engineering & Prosthesis).

    • Awarded National Science Foundation Graduate Student Research Fellowship.


Undergraduate Research Assistant, Alison R. Preston’s Lab, University of Texas,  Austin                                                   2014 - 2017

    • Investigated cortical representations of semantic memory using functional magnetic resonance imaging (fMRI).

    • Quantified semantic similarity between famous people and places by constructing models of semantic similarity using natural language processing techniques and online text corpora.

    • Analyzed behavioral and neuroimaging data using regression modeling, representational similarity analysis, and multi-variate pattern analysis.

    • Presented key findings at international conferences (Cognitive Neuroscience Society, Society for Neuroscience) and local conferences (Gulf Coast Undergraduate Research Symposium).

    • Awarded Society for Neuroscience Trainee Professional Development Award and the College of Natural Sciences Undergraduate Research Fellowship.

Visiting Research Assistant, Manfred Gahr’s Lab, Max Planck Institute for Ornithology, Seewiesen                              2015 - 2016

    • Studied the effect of breeding conditions on zebra finch communication and vocal repertoire composition using vocal recordings obtained from light-weight telemetric microphone backpacks.

    • Analyzed vocal and behavioral data using hierarchical linear models and clustering analysis.

    • Awarded DAAD Research in Science & Engineering fellowship and Marion Burke travel award.

Biostatistics Intern, Baylor Scott & White Healthcare, Dallas, TX                                                                                                                  2014

    • Analyzed cancer survivor survey data and created surveys with Qualtrics for the STEEEP Measurement, Analytics, & Reporting Department to gain insight on patient outcomes and satisfaction.

Download my full CV here: