Summary
Joseph Cappadona is a machine learning research engineer with 11 years of experience, currently building self-supervised vision models for digital pathology and breast cancer risk stratification at Ataraxis AI while pursuing an MS in Computer Science at NYU. He has a strong track record applying SSL to medical imaging—implementing distributed training pipelines and demonstrating improved performance on diagnosis and recurrence prediction from 3D MRIs. Past roles span XAI library development, applied cryptography analysis, and instructional technology, reflecting a blend of research, engineering, and teaching. He combines hands-on model development and experiment tracking with practical deployment-minded work such as visualization and time-to-event modeling. Outside of work, he competes in chess and poker and practices yoga, hinting at a strategic, disciplined approach to problem solving.
11 years of coding experience
2 years of employment as a software developer
High School, High School at Lynbrook Senior High School
Master's degree, Computer, Master's degree, Computer at New York University
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at University of Pennsylvania