I recently earned my PhD in biomedical science from Northwestern University’s Feinberg School of Medicine and have experience as both a classically-trained molecular biologist and as a bioinformatician/data scientist. I am currently pursuing career options in the area of data science that will allow me to apply the skills and knowledge that I have built through 10+ years of experience in biomedical research.

Education and Research Background

I completed my undergraduate education at Loyola University Chicago in molecular biology, where I also studied bioinformatics/genomics and completed both computational and molecular research projects. After this, I started a PhD in the Driskill Graduate Program at Northwestern University (NU), an umbrella program in biomedical sciences.

In my research I make use of both classic molecular biology approaches and high-throughput, genome-wide technologies. As a PhD student I had the pleasure to receive formal, deep training in several other topics, including: statistics, machine learning, and business management from excellent instructors within NU’s computer science, biostatistics, and management programs.

Thus, my research background is highly multi-disciplinary. I’ve published in the fields of metagenomics/metaviromics, cell death, and virology. As an undergraduate, I even briefly studied as a double major in physics and completed a short applied research project related to optics and fluid-structure interactions! I have a strong interest in machine learning, though I’m just as comfortable relying on traditional statistical and logical inferences – whatever tools suit the task best.

For more details on my work, particularly as it relates to data science, see my Portfolio and Publications, or if you just want something visually stimulating see my Gallery!

Interests and Hobbies

I’m a passionate learner and lifelong dreamer.

My hobbies and interests range from science fiction to fishkeeping (see my PiPy-AWC project for an automated aquarium maintenance device I built using a Raspberry Pi + Python to practice a number of software design patterns).

I’m always looking for ways to keep the learning process fresh and expand on my knowledge in a way that’s fun and inspiring.