Vincent Boer, de
Vincent de Boer is an Assistant Professor in Human and Animal Physiology at Wageningen University & Research. His research addresses fundamental questions in physiology, how muscles age, how metabolism fails, and how mitochondria respond to disease and stress. He combines wet lab expertise with data science and software engineering, developing open-source tools and methods that make physiological data more reproducible, transparent, and reusable. He is a core contributor to PyLabRobot, an open-source framework for lab automation. Alongside his research, he is committed to teaching the next generation of life scientists to work with data rigorously and openly. He is also involved in initiatives at the intersection of open hardware and sustainability, including efforts to reduce electronic waste in research infrastructure. He trained at Harvard Medical School and has a background in analytical chemistry and molecular biology.
Session
You've assigned PIDs to your datasets, your people, your publications. But where did that data actually come from? The data acquisition layer, the instruments, sensors, and control software that generate raw measurements, is almost always a blind spot in PID infrastructure. Open frameworks like PyLabRobot are tackling this from the software side, building the driver layer where instrument identity and configuration can finally be captured and stamped onto the data it produces. Come explore why DAQs are a missing link in connected knowledge, where the real barriers are, vendor lock-in, no open drivers, no persistent identity, no metadata that travels with the data, and what PID-connected instrumentation could actually look like. Leave with a clearer sense of what it would take to get there, and who else is working on the same problem.