Summary
Iris Seaman is a Machine Learning-focused software engineer and PhD student with a decade of experience building research-grade probabilistic models and production ML/AI systems. Her work spans academia and industry—from developing nested-inference probabilistic programs and theory-of-mind agents at BYU, MIT, and Northeastern to shipping computer vision, automation, and stealth account-protection tools as a senior data scientist and engineer at Gray Falkon. She combines deep Bayesian and probabilistic-programming expertise with hands-on engineering: designing scalable image-infringement detectors, proxy and bot-automation platforms, and end-to-end ML prototypes. A published researcher with ICML workshop talks and conference proceedings, Iris also mentors and advocates for women in computer science and publishes technical blogs at irisseaman.blog. Based in Mission, Texas, she uniquely bridges cognitive modeling research and pragmatic, security-sensitive ML product work.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD (Partial) Machine Learning, Doctor of Philosophy - PhD (Partial) Machine Learning at Northeastern University
High School Diploma, High School Diploma at Veteran's Memorial High School
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Brigham Young University
Spanish, English