Summary
Ammon Perkes is a project scientist and computational biologist based in Sacramento, blending biology with computer vision and machine learning to decipher social behavior. Over a decade in academic research, he has designed and deployed scalable data pipelines—most notably a fish-recording system that processes 288 hours of video daily and achieves 30x higher frame rate with automatic error checking—and developed neural-network and classical approaches for cross-environment image-based tracking. His work spans molecular biology, neuroscience, and mathematical modeling, and he routinely applies Bayesian statistics to behavioral data while mentoring colleagues in CV techniques. Proficient in Python, R, and Bash with familiarity in SQL, C++, ROS, he thrives on tackling complex problems and rapidly learning new tools. He earned a PhD in Biology from the University of Pennsylvania and previously built stereo-vision pipelines for bird behavior at UPenn, reflecting a strong interdisciplinary track record. Fluent in Portuguese and native in English, he values mentorship and collaboration across diverse teams.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science, Biology, General, Bachelor of Science, Biology, General at Brigham Young University
Doctor of Philosophy - PhD, Biology, General, Doctor of Philosophy - PhD, Biology, General at University of Pennsylvania