## About

Researcher, educator and solver of computationally-intensive mathematical problems. I currently work as a Senior Data Science Developer Advocate at Databricks where I work on Data Science and Machine Learning. Prior to this, I worked as a Computational Scientist at Virginia Tech (2014 - 2020), where I had the privilege of working with some great minds and state-of-the-art science.

## Disease modeling using Julia for COVID-19

### SIR, SIS, SIRS models and the impact of social distancing

This Jupyter notebook contains disease propagation modeling using the SIR, SIS and SIRS models in Julia. The impact of social distancingis assessed using these various models. Also shown is the outbreak size as a function of the mean degree of connectivity (physical interaction) of the social network.

## RVATECH/DataSummit 2020

### Introduction to AutoML

## Hyperparameter Optimization with Comet.ml

### Data science workflow management tool & collaboration hub

## Tensorflow in Jupyter Notebook for Multi-GPU environments

### Options/Best Practices

## Conditional Variational Autoencoders

### With code in Keras

The following slides are an overview of Variational Autoencoders. A notebook that modifies this to implement a Conditional Variational Autoencoder can be found below.

A Jupyter notebook with the implementation can be found here.