Summary
Sydney Zink is an interdisciplinary researcher-engineer with 11 years of experience blending multilingual NLP, medical machine learning, distributed systems, and security into applied healthcare and first-responder technology. A former PhD student and current researcher in Brown’s Lunar Lab with prior Cornell experience, she has six publications spanning ML ethics, security, and NLP and contributes to image and histological processing projects at Yale School of Medicine. Her industry work includes senior NLP and MLOps roles for cancer care platforms and consultancy for Kaiser Permanente, informed by prior positions across fintech, defense, social media, and legal tech. Unusually for a technologist, she pairs this computational portfolio with frontline emergency care—EMT-B training, ER night shifts, and fire company volunteering—which drives her interest in EMS data science, usability, and product design. She teaches and mentors in ML education programs and aims to integrate user research and UX into first-responder tech as she prepares for a future MD-PhD return. Based in New Haven, she brings a rare combination of rigorous research, production ML experience, and hands-on clinical perspective to healthcare technology.
11 years of coding experience
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Brown University
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Chicago
Bachelor of Science (B.S.) Computer Science Communication Studies and Economics majors, Bachelor of Science (B.S.) Computer Science Communication Studies and Economics majors at Northwestern University
Woodward Academy
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at Cornell University
Spanish, English, French, Italian, German