Dr. sc. ETH Zürich in computational biology, specialized in statistical modeling of long-read sequencing. A decade at Pacific Biosciences took me from hardware-near modern C++ on a single instrument to leading the organization that owns the entire on-instrument analysis stack.
I architected the real-time data path that turns petabytes of photon counts into billions of HiFi reads, and helped launch five sequencing platforms – Sequel through Revio and Vega. I grew the instrument-analysis team from one contractor to fifteen engineers, all fully remote.
The work spans signal processing, bioinformatics, GPU/CPU optimization, and the productization of deep learning – real algorithms, shipped reproducibly, with an eye on compute cost. I'm a trusted partner to NVIDIA and Google.
I was the first at the company to bring AI into engineering, and I'm still its most demanding user. I build novel agents that cut instrument troubleshooting from weeks to minutes, and I run self-hosted open-source LLMs on repurposed hardware – putting AI in the hands of the whole software organization without the per-token bill.
5Sequencing platforms shipped
10+Years leading remote teams
864TBPhoton counts processed per day/GPU
95%Faster troubleshooting through AI
30%Revio compute cost reduction