I decode complex neural and behavioral data — and build the pipelines to do it at scale. Currently seeking data science, BCI, and research scientist roles.
I analyze brain signals for a living — extracting meaningful patterns from noisy, high-dimensional data to decode decision-making behavior.
My path started at Mercer University (Neuroscience + Latin, summa cum laude), continued through a PhD at Mount Sinai where I developed innovative quantitative neuroanatomical methods, and now extends into postdoctoral work on reinforcement learning and neural decoding.
What excites me is translating rigorous analytical skills into real-world applications: building better data pipelines, improving signal processing workflows, and transforming raw physiological signals into actionable insights.
I believe the same challenges I solve for neural data — noise, dimensionality, real-time constraints, signal extraction — apply directly to a wide range of complex data problems. BCI and biosensors are where I see particularly exciting opportunities, but I'm drawn to any domain where rigorous analysis of messy, high-volume data creates meaningful impact.
I process 100+ GB/day of high-dimensional neural and behavioral data, building production-quality ML pipelines to extract signal from noise. I'm drawn to any domain where rigorous analysis of messy, high-volume data creates real impact.
Particularly excited by: biosensor applications, real-time signal processing, health tech, and any challenge involving complex, high-dimensional data streams.
Also open to: standard data science roles in tech, finance, or research where my signal processing and ML expertise adds value.
Journal of Neuroscience
Analyzed ~20,000 single neurons across mice, macaques, and humans to identify conserved hierarchies of neural timescales. Demonstrated expertise in extracting signal from noise across species — a challenge common to any high-dimensional biosensor or behavioral data application.
Built and maintained end-to-end data pipelines processing neural signals from awake behaving primates. 157-channel custom electrode arrays (Gray Matter collaboration), 40-70 single neurons + mesoscale LFPs recorded simultaneously.
Translating complex neural findings into actionable insights for diverse audiences. Distilled high-dimensional data into clear narratives at premier venues.
Expertise applies to neural data, biosensors, or any complex high-dimensional data system.
In: The Evolution of Nervous Systems, 3rd ed., Vol. 3
Journal of Neuroscience 45(19)
2025
The Krieg Cortical Kudos recognize outstanding scientists working on the cerebral cortex across three career stages: the established investigator (Discoverer), the young professional within ten years of their advanced degree (Explorer), and recent PhD graduates no more than two years beyond their degree (Scholar). I was honored to receive the Scholar award for contributions to understanding cortical structure and function.
I'm actively exploring opportunities in NYC or remote. Let's discuss how my neural data expertise can contribute to your team.