Summary
Christopher Clark is a Senior Data Scientist based in Denver with five years’ experience applying machine learning and AI to medical imaging and public-health problems, and a background building deep learning and reinforcement-learning systems for algorithmic cryptocurrency trading. He blends rigorous statistical training (MS in Statistics, 3.7 GPA) with hands-on engineering—authoring a comparative master’s project on deep learning architectures for Bitcoin trading and contributing to mHealth research at the University of Colorado Anschutz. A former Peace Corps health volunteer who learned Portuguese to operate effectively in-field, he brings uncommon adaptability and cross-cultural problem solving to technical teams. His work spans classification and segmentation in ophthalmology, policy-relevant statistical analyses of global health data, and production-focused AI model development, demonstrating both breadth of interest and a track record of translating research into practical impact.
5 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Statistics, 3.7, Master of Science - MS, Statistics, 3.7 at University of Colorado Denver
Bachelor of Arts - BA, Mathematics and Philosophy, 3.45, Bachelor of Arts - BA, Mathematics and Philosophy, 3.45 at University of Colorado Boulder
Portuguese