Who am I?
Hi, I'm Red. I'm a machine learning engineer. And I love to build stuff.
Ever since I was a kid, I've adored programming, math, and tech. After spending over a decade as a life scientist, I decided to switch to a career that centers around my longtime passions—a data scientist—while still enabling me to leverage the analytical skills I've honed over the years. I soon found my niche in the ever-evolving data world: developing products and pipelines that use machine learning.
This blog originally served to chronicle my journey during the career transition, but I now use it to share fascinating stuff I've learned in machine learning engineering and software development with a few other curiosities throw in.
What have I done?
I currently work at Nielsen where I build data science tools, pipelines, and software. I received a PhD in molecular physiology and biophysics from Baylor College of Medicine where I used carbon nanotechnology to develop a new treatment for autoimmune diseases. During grad school, I also founded and led a 501(c)(3) nonprofit organization that trains scientists and doctors to become management consultants, and also provides consulting services. Previously, I worked in biotech and venture capital.
How to get in touch
All views on this blog are my own.