Summary
Idoia Ochoa is an associate professor and researcher with over a decade of experience at the intersection of information theory, data compression, and bioinformatics, currently based in Spain and affiliated with Tecnun - Universidad de Navarra. She earned her PhD from Stanford (2016) under Tsachy Weissman and built a research agenda focused on genome compression, lossy denoising of sequencing quality values, and efficient similarity queries. Her career blends academic leadership—teaching and organizing the Stanford Compression Forum—with industry experience through internships at Google and GenapSys and technical consulting for HBO’s Silicon Valley. Idoia is actively involved in international standardization efforts for genomic compression (MPEG/ISO), reflecting a rare mix of deep theory and practical impact. She has been recognized with competitive fellowships and invited to speak at venues like MIT’s Rising Stars, and she routinely bridges disciplines from coding and signal processing to machine learning. An understated but telling detail: her work has influenced both cutting-edge sequencing base-calling algorithms and the standards that shape how genomic data is stored and shared.
11 years of coding experience
5 years of employment as a software developer
Master's degree, Telecommunications Engineering, Master's degree, Telecommunications Engineering at University of Navarra - Company
Bachelor's degree, Telecommunications (Electrical) Engineering, Bachelor's degree, Telecommunications (Electrical) Engineering at University of Navarra
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Luleå University of Technology
PhD, Electrical Engineering, PhD, Electrical Engineering at Stanford University
Spanish, Basque, German, French