Summary
Anna Foix is a PhD candidate at EMBL-EBI and the University of Cambridge specializing in deep learning for bioimage quantification and shape analysis, with nine years of experience building production-grade scientific software and HPC infrastructure. She combines a strong academic foundation—MSc in Bioinformatics & Biostatistics and a background in mathematics and computer engineering—with hands-on engineering roles at EMBL-EBI spanning software, DevOps, and high-performance computing. Her work bridges microscopy image analysis, parallel GPU acceleration, and scalable data services that support tens of terabytes daily, reflecting both research rigor and operational discipline. Anna’s master’s thesis compared neural architectures for blood cell classification, and she enjoys prototyping hardware and FPGA projects in her spare time, revealing a maker’s approach to research problems. Based in Cambridge, she brings a rare mix of computational biology insight, production systems experience, and a curiosity-driven habit of turning playful experiments into practical tools.
9 years of coding experience
9 years of employment as a software developer
Bachelor's degree Philosophy and Math, Bachelor's degree Philosophy and Math at Universitat de Barcelona
Doctor of Philosophy - PhD Machine learning Bioimage quantification Shape analysis, Doctor of Philosophy - PhD Machine learning Bioimage quantification Shape analysis at University of Cambridge
UOC (Universitat Oberta de Catalunya)
Catalan, Spanish, English