Carlos Johnson-Cruz
Neuroscience Postdoctoral Research Scientist at UCSF. Socials are linked below.
San Francisco, CA
Who am I?
I am a neuroscientist with 7 years of experience in experimental design, data science, and deep/machine learning. I’ve worked with various forms of biological data, including wearable sensor time-series data during my Data Analysis internship at Evidation Health and neural time-series data for my PhD research, where I used deep and machine learning to analyze neural representations during cognitive flexiblity.
I’m skilled at building/optimizing analysis pipelines to independently distill insights from complex biological datasets and communicate them to cross-functional audiences. I’m driven to produce meaningful and actionable insight from data; I’ve spent years in self-directed study to add to my analytical toolbox.
Projects
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Open source post hoc statistical annotation in development: Link to /plot_stat_annot repo
selected publications
- In PreparationCircuit Inhibition Facilitates Behavioral Strategy Evolution by Diverging Prefrontal Error Representations2024
- ThesisCircuit Inhibition Facilitates Behavioral Strategy Updates by Creating Divergent Prefrontal Representations for ErrorsUniversity of California, San Francisco ProQuest Dissertations & Theses, San Francisco, Sep 2024