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.
Introduction to AutoML
Hyperparameter Optimization with Comet.ml
Data science workflow management tool & collaboration hub
Tensorflow in Jupyter Notebook for Multi-GPU environments
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.