timcsheehan / short-term-plasticity-rnn Goto Github PK

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.

1. Model deployment (CI/CD) to predict pitcher performance for todays MLB matchups repo | live model output.

1. 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. repo | manuscript
2. Causal inference on the driver of perceptual biases. Theory and simulation first work applied to empirical data. repo | manuscript