Hi, I’m Leo Scholl

I’m a neuroscience researcher studying how brains learn and adapt. I build brain-machine interfaces and open-source analysis tools to bridge techology and neuroscience.

Currently, I’m a postdoctoral researcher in Amy Orsborn’s lab at the University of Washington.

📄 CV	🎓 Google Scholar

Selected Projects

Human & Animal Behavior Experiments

• bmi3d – Extended BMI platform with eye-tracking, VR integration, and precise experiment timing.
• Mapping Motor Information Using Electrocorticogram (J Neurosci 2025) – Time-seires decomposition of overlapping signals in neural signals.
• Pulvinar contributions to visual cortical processing in the rat – Dissertation on thalamic influences on cortical computation.

Data Analysis & Machine Learning

• aopy – Open-source Python library for quantitative neural and behavioral data analysis.
• AMAG (NeurIPS 2024) – Graph neural network framework for forecasting neuron activity.

Tools & Open Science

• Experica – Closed-loop vision experiment framework (collaboration with Alex Zhang).
• multisection-imager – Automated fluorescent microscopy acquisition & image-processing pipelines.
• Neural Engineering Seminar – A virtual seminar series I helped organize (2020–2022).

Side Projects

• wallberry – Distributed home weather station and data logger.
• sense-alarm – Pebble smartwatch app using accelerometer data for sleep-cycle-based wake-ups.
• pet-dispenser – Button-press food dispenser for pets / low-cost behavioral experiments.