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followers: 11.0 following: 13.0 repos: 27.0 gists: 0.0

Name: Tim Sheehan

Type: User

Bio: Data Scientist PhD Computation Neuroscience (2024)

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

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

Archived Projects

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

Tim Sheehan's Projects

biasmodels

Models to explore cardinal and serial biases

bootcamp2020

Materials for NGP Bootcamp, September 2020

circ_regression

scripts for neural decoding of circular data.

code

compasstask

Code and intermediary data for compass task paper

dev

encoding_models

encoding models for fMRI/EEG

fastai

The fast.ai deep learning library, lessons, and tutorials

flexibleworkingmemory

Code for the paper "A Flexible Model of Working Memory" Bouchacourt and Buschman, 2019

fly_lsh

historyresponsemodeling

Modeling work to distinguish stimulus versus resposne histroy biases

multitask

Code for Task representations in neural networks trained to perform many cognitive tasks

neurodynamcis

next-charts

onlineexperiments

Online studies run on MTurk

pitcher_model_deploy

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

psyc-neu-231

PSYC-NEU 231 Tools for Experimental Data Analysis

recurrent-memory

When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?

set

sheehanserences2022

Code for Sheehan & Serences 2022

short-term-plasticity-rnn

Short-term plasticity RNN models in Tensorflow

spatial_sampling

ssm

Bayesian learning and inference for state space models

stringer-et-al-2019

paper figure code

test_neu

Test adding files to a fork

timcsheehan

try_strf

Code to make different receptive fields

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