Carlos Johnson-Cruz

Who am I?

I am a neuroscientist with 8 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

1. My manuscript “Circuit inhibition promotes the dynamic reorganization of prefrontal task encoding to support cognitive flexibility” is on bioRxiv, in revision at Nature Communications. !

2. I most recently completed Bluedot’s Technical AI Safety Project, where I released a blog post on my replication of an arXiv paper (Devbunova, arXiv 2603.19426) that studied how a lack of prompt text diversity can cause linear probes to confound evaluation/deployment status with textual format.

3. I recently created an interactive map of film locations in San Francisco as a side project. Check it out here!

4. Open source post hoc statistical annotation in development: Link to /plot_stat_annot repo

5. I also DJ in my spare time.