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TimCSheehan/README.md

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.

Active Projects

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

Archived Projects

  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

Pinned Loading

  1. pitcher_model_deploy pitcher_model_deploy Public

    Code for predicting pitcher performance on upcoming games. Deployed as a google cloud function

    Jupyter Notebook

  2. SheehanSerences2022 SheehanSerences2022 Public

    Code for Sheehan & Serences 2022

    Jupyter Notebook

  3. historyResponseModeling historyResponseModeling Public

    Modeling work to distinguish stimulus versus response history biases

    Jupyter Notebook

  4. compassTask compassTask Public

    Code and intermediary data for compass task paper

    Jupyter Notebook

  5. FLY_LSH FLY_LSH Public

    Jupyter Notebook 1