Summary
Melania Nowicka is a research scientist with a decade of experience at the intersection of interpretable machine learning, synthetic biology, and antimicrobial resistance, currently leading work at the Hasso Plattner Institute after joint postdoctoral positions at HPI and MIT CSAIL. She holds a PhD from the Max Planck Institute for Molecular Genetics and has a strong track record translating computational methods into biological design and diagnostics, from discrete biomathematics in academia to applied data analytics in lab settings. Melania excels in interdisciplinary teams, combining software skills (Python, R, test automation) with domain expertise in genomics and synthetic genomics to produce reproducible, interpretable models. Notoriously curious, she has a history of teaching and mentoring—designing courses in metaheuristics and computational systems biology—and has guided award-winning iGEM projects. Her profile reflects a rare blend of theoretical rigor and hands-on implementation across research, tooling, and experimental collaboration.
10 years of coding experience
9 years of employment as a software developer
Saint Mary Magdalene High School
Doctor of Philosophy (Ph.D.), Bioinformatics, Doctor of Philosophy (Ph.D.), Bioinformatics at Freie Universität Berlin
Master’s Degree, Bioinformatics, Master’s Degree, Bioinformatics at Poznan University of Technology
Polish, English, German