Using Spiking Neural Network (SNN) simulations to study neuron correlations and inhibition within networks capable of propagating spikes given different types of input.

Aided in design and grading weekly programming labs in R with the purpose of teaching students machine learning techniques with applications in biology researchHosted weekly computational lab sessions, taught theory of machine learning methods and helped students apply knowledge to complete homework assignmentsMethods included KNN, Naïve Bayes, linear and logistic regression, cross-validation, bootstrapping, regularization, decision trees, random forest, PCA, clustering methods,… Show more Aided in design and grading weekly programming labs in R with the purpose of teaching students machine learning techniques with applications in biology researchHosted weekly computational lab sessions, taught theory of machine learning methods and helped students apply knowledge to complete homework assignmentsMethods included KNN, Naïve Bayes, linear and logistic regression, cross-validation, bootstrapping, regularization, decision trees, random forest, PCA, clustering methods, and multiple hypothesis testing Show less