Edgar Steiger is a Team Lead Data Science based in Berlin with 10 years of experience turning healthcare and genomics data into actionable public health insights. He moved from a strong academic foundation—a summa cum laude PhD in bioinformatics and a Diplom in mathematics and statistics—into applied machine learning and data communication at the Zentralinstitut für die kassenärztliche Versorgung. Edgar combines statistical rigor from his postdoctoral and PhD work with practical ML deployment across public healthcare research, and he leads teams that make complex analyses accessible to stakeholders. He also has a background in teaching and outreach, from university instruction to museum education, which informs his emphasis on clear data storytelling.
10 years of coding experience
4 years of employment as a software developer
Dr. rer. nat., Bioinformatik, summa cum laude, Dr. rer. nat., Bioinformatik, summa cum laude at Freie Universität Berlin
Diplom-Mathematiker, Mathematik und Statistik, 1.8, Diplom-Mathematiker, Mathematik und Statistik, 1.8 at Humboldt-Universität zu Berlin
Abitur, Mathematik, 1.0, Abitur, Mathematik, 1.0 at Georg-Friedrich-Händel-Oberschule (Gymnasium), Berlin
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