Data Scientist and Machine Learning Engineer (MLE) with experience in the fields of neuroscience, medical devices, and autonomous vehicles. I have over 8 years experience visualizing, modeling, and applying statistics to make sense of noisy high-D datasets.
- Model deployment (CI/CD) to predict pitcher performance for todays MLB matchups
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|live model output
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- Decoding neural states (read: mind reading from visual cortex) to quantify perceptual biases in human observers. Design of spiking neural-network model to recapitualate bias-variance tradeoff in ideal observers.
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|manuscript
- Causal inference on the driver of perceptual biases. Theory and simulation first work applied to empirical data.
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|manuscript