Gemma Turon
Trained as a molecular biologist, Gemma completed a PhD in colorectal cancer and stem cells at IRB Barcelona in 2019, before taking a one-year break to focus on working and volunteering in the third sector. This shifted her scientific interest to global health and neglected diseases, and the existing barriers to tackle some of the most urgent health issues in developing countries. With Ersilia, she aims to explore new ways of community building and engagement in the scientific arena, at the intersection between academia, biotech start-ups and NPOs.
Sessions
Numerous scientific disciplines have noticed a reproducibility crisis of published results. While this important topic was being addressed, the danger of non-reproducible and unsustainable research artefacts using machine learning in science arose. The brunt of this has been avoided by better education of reviewers who nowadays have the skills to spot insufficient validation practices. However, there is more potential to further ease the review process, improve collaboration and make results and models available to fellow scientists. This workshop will teach practical lessons that can be directly applied to elevate the quality of ML applications in science by scientists.