Summary
Perry Moerland is an experienced bioinformatics researcher and educator with over a decade of experience bridging machine learning foundations and biomedical applications, currently serving as Assistant Professor and Education Coordinator at Amsterdam UMC and Chair of the BioSB Education Committee. His work focuses on single-cell and spatial omics applied to immunology, oncology, neuroscience and epigenetic editing, combining hands-on method development with course design for national postgraduate training. Trained as a machine learning PhD from EPFL, he brings a rare blend of theoretical ML expertise (mixture models, neural computation) and practical bioinformatics across proteomics, microarrays and modern single-cell technologies. Perry is known for translating complex computational concepts into intensive week-long courses for PhD and postdoc audiences, and for sustaining community education infrastructure at scale. An understated thread in his profile is long-term interdisciplinary experience—spanning cryptology, optical neural network simulation and biomedical data science—which informs both his research creativity and curriculum development.
10 years of coding experience
3 years of employment as a software developer
MSc, Computer science, MSc, Computer science at Eindhoven University of Technology
PhD, Computer science: machine learning, PhD, Computer science: machine learning at EPFL
Dutch, English, French, German, Russian, Chinese