Ezgi Rizvi is a computational biologist and Director of Translational Research at Tempus with a decade of experience turning multi-modal real-world cancer datasets into actionable insights for drug development. She leads and mentors teams executing reproducible computational biology projects, focusing on rigorous analytical plans, code review, and appropriate real-world data use. An R and tidyverse enthusiast, Ezgi is an RStudio-certified tidyverse instructor who has organized R-Ladies Columbus and SatRday Columbus, signaling a strong commitment to teaching and community building. Her background spans translational cancer pipelines, neoantigen prediction, and genome-wide survival analysis, and she also develops R packages to streamline reproducible workflows. Based in Rochester, NY, she blends deep domain expertise with practical software practices to bridge research and translational impact.
9 years of coding experience
7 years of employment as a software developer
Bornova Anadolu Lisesi
Master of Science (M.Sc.), Integrated Systems Biology, Master of Science (M.Sc.), Integrated Systems Biology at University of Luxembourg
Bachelor of Science (B.Sc.), Biology, General, Bachelor of Science (B.Sc.), Biology, General at Hacettepe Üniversitesi
Certificate of Advanced Study, Applied Biostatistics, Certificate of Advanced Study, Applied Biostatistics at University at Buffalo
Doctor of Philosophy (PhD), Pharmaceutical Sciences, Doctor of Philosophy (PhD), Pharmaceutical Sciences at The Ohio State University
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