Scott Campit is a data scientist and researcher solving problems related to healthcare, medical, and biotechnology. He is a data scientist at RaLytics, developing AI, machine learning, and NLP products for medical record evaluation, payment optimization, and claims anomaly detection.

Scott received his Ph.D. in Chemical Biology at the University of Michigan in 2022. He worked with Prof. Sriram Chandrasekaran, developing machine learning algorithms and systems biology approaches to study cancer metabolism. His research led to several potential metabolic drug targets [Google Scholar profile].

Dr. Campit received over $100,000 in awards from prestigious institutions including the Department of Education GAANN award and the National Cancer Institute Proteogenomics of Cancer award.

As a data scientist, Scott works with companies and startups, consulting on high impact projects involving data and human health.

Follow Scott on Twitter (@secampit) and LinkedIn.