Introducing The Epsilon

A data science blog

Welcome to The Epsilon, a data science blog that promises to cover the multidisciplinary nature of the subject: artificial intelligence (AI), machine learning (ML), deep learning, statistics, and mathematics.

My name is Olatomiwa Bifarin, and I'll be your guide as we explore AI/ML algorithms, techniques, and concepts.

Here at The Epsilon, a picture is worth a thousand words. So, I will attempt to use fewer words and more illustrations in my expository blogs. In addition to the blog, I will occasionally send out newsletters on data science/AI/ML industry news, contents I enjoy and related papers.  

A little bit about me:

I hold a Ph.D. in Biochemistry and Molecular Biology from the University of Georgia. In grad school, I started out by studying a model organism called Caenorhabditis elegans.

Later, I applied ML to metabolomics for urine biomarker discovery for kidney cancer. My journey into data science was primarily self-taught via good books, (online) classes, and ambitious projects. (You can read about my PhD journey here)

Currently, I am a postdoc doing computational metabolomics research at the School of Chemistry and Biochemistry at Georgia Tech.

My recent research projects are on applied explainable AI in metabolomics, and using ML to study the dynamics of ovarian cancer progression. In addition to my expertise in these areas, I have experience working on natural language processing (NLP) and computer vision projects.

If you are interested, here is a 50-minute talk on some of my recent academic projects.

With my diverse background and experience, I am excited to share my insights, and learning notes on this blog.

So, whether you're a seasoned professional, an aspiring data scientist, a ML engineer or someone with a keen interest in the field (and ready to learn), The Epsilon is here to be your companion on this exciting journey.

Once again, welcome to The Epsilon.