Summary
Niki Athanasiadou is a senior research associate and data scientist with a decade of experience applying statistical and machine learning methods to biomedical, population health, and environmental problems. She has led interdisciplinary research programs and product-focused AI work across institutions including Rockefeller University, Memorial Sloan Kettering, Mount Sinai, NYU Langone, and NIH, and also runs her own analytics consultancy. Her expertise spans the full data lifecycle—from experimental design and sampling to bias-aware modeling and deployment—often translating genomics and EHR data into actionable insights for precision medicine and public health. Niki combines academic rigor (PhD in molecular and cellular biology) with industry product experience at H2O.ai, enabling her to bridge research and production-ready AI in healthcare. An interesting through-line in her career is repeatedly building tools and pipelines that make noisy biological and environmental data interpretable and usable for decision-making.
9 years of coding experience
15 years of employment as a software developer
PhD Molecular and cellular biology, PhD Molecular and cellular biology at The University of Edinburgh
School of Biology ERASMUS exchange program, School of Biology ERASMUS exchange program at The University of Manchester
BSc Biology, BSc Biology at Aristotle University of Thessaloniki (AUTH)
MRes Biomolecular Science, MRes Biomolecular Science at University of York
r, bash, latex, python, mysql