Summary
Ignacio Fernandez is a Senior Data Scientist and privacy expert based in Barcelona with a PhD in Bioengineering and around three years of industry experience applying advanced analytics to health data deidentification. He combines a researcher's rigor—built during his PhD founding a biomaterials lab—with hands-on engineering skills in PySpark, Python, and NLP to productize tools for sampling, deduplication, and tokenization of clinical notes. At Datavant he led a Life Sciences pod, cut delivery times by ~50% through automation, and mentors junior scientists while shaping internal standards adopted across client accounts. His recent focus includes optimizing labeling workflows for large language models and characterizing unstructured data via embeddings and similarity metrics, enabling scalable, privacy-preserving analyses of terabyte-scale datasets. Colleagues describe him as a curious problem-solver who enjoys turning messy experimental data into robust, reusable pipelines.
3 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering, Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering at Imperial College London
Diploma Candidate, Data Science, Diploma Candidate, Data Science at BrainStation
Universitat Politècnica de València
Spanish, English, Catalan