Summary
Thomas Vetterli is a director-level machine learning and bioinformatics leader with 11 years of experience building ML platforms and products at the intersection of life sciences and software. Trained in bioengineering at EPFL and schooled in cutting-edge deep learning, he has led multidisciplinary teams to deliver scalable ML infrastructure for cancer diagnostics, single-cell automation, and humanitarian translation matching. At Hedera Dx he directs ML and bioinformatics efforts, drawing on prior roles at Freenome and Berkeley Lights where he moved research pipelines into production and co-authored image-processing patents. Known for pairing quantitative rigor with practical product mindsets, he excels in project design, stakeholder management, and launching distributed computation experiments at scale. A subtle strength is his early hands-on lab and fabrication experience, which gives him uncommon fluency across wet lab workflows and production ML systems.
11 years of coding experience
6 years of employment as a software developer
Baccalauréat Physique et Application des Mathémathiques, Baccalauréat Physique et Application des Mathémathiques at Gymnase Auguste Piccard
Cutting Edge Deep Learning for Coders AI & Deep Learning, Cutting Edge Deep Learning for Coders AI & Deep Learning at University of San Francisco
Master of Science (MSc) Bioengineering, Master of Science (MSc) Bioengineering at EPFL
French, English, German, Italian