Welcome to Musings by Chris Hayduk

For the last several years, I’ve been reading extensively across physics, philosophy, mathematics, history, and computer science in an attempt to better understand the systems that govern the world we live in.

This blog is an attempt to share my learnings and will broadly focus on artificial intelligence, drug discovery, and the design of innovation-promoting institutions, though there will likely also be a long tail of other topics stemming from my readings.

My Background

In my day job, I am a Machine Learning Engineer at Meta working on machine learning models for low signal and noisy label data settings. In my previous role, I served as the Lead Machine Learning Engineer for Drug Discovery at Deloitte, where I created biomedical knowledge graphs, trained & finetuned drug discovery AI models, and developed workflows for in-silico drug optimization.

My academic background includes:

• A Bachelor of Science in Computer Science & Mathematics from Fordham University

• A Master of Science in Mathematics from The City College of New York

• A Master of Science in Applied Statistics from the Fordham Gabelli School of Business

• [In progress] A Master of Science in Computer Science at the Georgia Institute of Technology

📫 How to Reach Me

• Twitter: https://twitter.com/chris_hayduk1

• LinkedIn: https://www.linkedin.com/in/chrishayduk/

• Goodreads: https://www.goodreads.com/chris_hayduk

• GitHub: https://github.com/ChrisHayduk