Felix Parker
PhD Student at The Johns Hopkins University
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolFelix Parker is a postdoctoral researcher at Johns Hopkins specializing in machine learning and optimization for healthcare, with a PhD in Systems Engineering and a BS in Computer Science and Applied Mathematics. He develops data-driven decision-support models that address hospital operations and surge response, translating time-series AI research into practical clinical and operational tools. Over 11 years of research and engineering experience, he has applied computer vision and unsupervised learning to biomedical problems and ecological projects, reflecting a broad experimental background. His thesis work bridges optimization and time-series understanding, signaling strength in both theoretical modeling and applied deployment. Based in New York, he combines academic rigor with hands-on collaboration across labs, often pulling techniques from applied math to make ML models more interpretable for clinicians. Colleagues note his knack for turning complex datasets into actionable policies that improve hospital resilience.
11 years of coding experience
2 years of employment as a software developer
Johns Hopkins UniversityDoctor of Philosophy - PhD, Systems Engineering, Doctor of Philosophy - PhD, Systems Engineering at Johns Hopkins Whiting School of Engineering
Github Skills (27)
temporal10
uncertainty10
prophet9
pytorch-lightning9
time-series-forecasting9
forecasting8
temporal-data8
pytorch7
machine-learning7
gpu7
icu7
pandas7
solver7
deep-learning7
python7
Programming languages (3)
Github contributions (5)
flixpar/ActivityRecognition
Jan 2019 - Apr 2019
Contributions:35 commits, 15 pushes in 2 months
flixpar/covid-resource-allocation
Apr 2020 - Oct 2021
Contributions:141 commits, 61 pushes in 1 year 6 months
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