The Epsilon
Note: Given the ongoing AI revolution spurred by Large Language Models (LLM), I have honed in my focus on AI engineering, LLM in Science, commentaries on this new era of computing, and other adjacent topics.
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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.
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, commentaries on AI, and importantly, Bio X AI papers. Why Bio?
Well, 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 conducting computational metabolomics research at the School of Chemistry and Biochemistry at Georgia Tech.
My recently published academic works are on applied explainable AI in metabolomics, using ML to study the dynamics of ovarian cancer progression, and ovarian cancer biomarker discovery. In addition to my expertise in these areas, I have ongoing projects on natural language processing (NLP), and large language model (LLM) Applications.
If you are interested, here is a 50-minute talk on some of my recent academic projects as of April 2024.
With my diverse background and experience, I am excited to share my insights, and learning notes on this blog.
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