Juliette Zerick is a hybrid computational scientist and engineer with eight years of experience applying data science, machine learning, and cyber-physical systems thinking to problems spanning wireless communications, meta-omics, and brain-computer interfaces. Currently a Graduate Student Researcher at Indiana University, she leads student teams upgrading hardware and real-time data pipelines to study psychophysiological responses and human trust in AI. Her background mixes Big Data at AT&T—where she wrestled with trillion-record datasets for urban mobility and social-good projects—with academic work in scalable bioinformatics and theoretical models of gene regulation. Comfortable soldering (with the occasional singed board) and mentoring, she blends rigorous quantitative modeling with hands-on hardware prototyping and a knack for turning messy experimental systems into reproducible data products. She explicitly focuses on computational and engineering work (no wet lab) and brings a creative, systems-level mindset to interdisciplinary research.
8 years of coding experience
11 years of employment as a software developer
completed some requirements for the Doctor of Philosophy (Ph.D.), Applied Mathematics, completed some requirements for the Doctor of Philosophy (Ph.D.), Applied Mathematics at University of California, Davis
Doctor of Philosophy - PhD, Intelligent Systems Engineering, Doctor of Philosophy - PhD, Intelligent Systems Engineering at Indiana University Bloomington
completed some requirements for the Doctor of Philosophy (Ph.D.), Bioinformatics, completed some requirements for the Doctor of Philosophy (Ph.D.), Bioinformatics at Georgia Institute of Technology
B.S., Mathematics and Computer Science, B.S., Mathematics and Computer Science at Mary Washington College
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.