About Me

My name is Patrick Chirdon. I look forward to posting articles on the intersection of biotech and AI. Machine learning algorithms can be used to make predictions on large data sets, such as CDC data, medical imaging, genomic data, and pharmaceuticals. In some cases, computer vision algorithms can pick up on patterns on opthalmology, radiology, and pathology data that may have been missed by experts in the field. These methods can be used to help clinicians double check their work and improve quality of care with early detection. In addition, in the chemical industry large chemical data sets can be used to build models for drug discovery, such as toxicity testing or adsorption, distribution, metabolism, and excretion useful for designing compounds before they are synthesized and potentially saving money.

I am a biomedical engineer. My undergraduate degree was in biology from Case Western Reserve University. I did a one year research grant in Lausanne, Switzerland at EPFL on genetic editing. Then, I took some course work at Cleveland State University while I prepared for medical school. After 2.5 years of medical school at Ohio University I decided clinical medicine was not for me and that I’d rather build cool stuff. I’ll be graduating with a masters in biomedical engineering from Ohio University summer 2020. My research interest is in AI for drug discovery. Soon, I’ll be working with them to launch a small start up company that will process chemicals in silico, sell our software toolkit, and consult on the side. https://patrickchirdon.wixsite.com/website-1

Outside of work, I enjoy hiking and the great outdoors. I might post on hikes from time to time…. or on books I read. I tend to read a lot of non fiction and science related topics.

Stay posted.