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Recent Recognition

Selected for Allen Institute MapMySpikes Challenge

Developed pypatchOTDA, a software tool for integrating electrophysiological datasets using optimal transport methods. The project addresses practical challenges in neuroscience data analysis and was recognized by the Allen Institute.

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Challenge Info

Programming Projects

pypatchOTDA
pypatchOTDA New

Software for integrating electrophysiological datasets using optimal transport and domain adaptation. Recognized by the Allen Institute MapMySpikes Challenge.

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pyCEDFS

Python interface to extract and convert data from CFS (neuroscience data) format. Includes conversion to Neuroscience without borders (NWB) format.

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Backend Developer - Primate Cell Type Database

Contributing backend developer for The JMT Primate Cell Type Database. Built the data dashboard for the intracellular ephys table.

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pyAPisolation

Python script to extract action potentials and action potential features ABF files. Facilitates data dashboarding and data visualization of neural time-series data.

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Data Science Projects

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sNMO (single neuron model optimizer)   

Optimization library for fitting single neuron models (adex, LIF, cadex, and more!) to in vitro / ex vivo neuron recordsings from patch clamp ephys. Features several customized optimization techniques including genetic algorithms, bayesian optimization, and neural network based posterior modelling.  

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AdEx Neural ODE 

Modelling of single neuron dynamics using the adaptive exponential integrate and fire neuron. Built on a pytorch backend using Neural ODE

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Writing & Communication

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Contributing Writer - The Dorsal Column

Neuroscience blog posts about research ongoing at UWO, written for the general public!

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