Alexandros Karargyris is the co-chair for the Medical working group at MLCommons, a group aiming to develop best practices for benchmarking medical AI on real-world data to improve clinical translation of AI. Previously, he worked as a researcher at IBM and NIH. His research interests lie in the space of medical imaging, machine learning and mobile health. He has contributed to healthcare commercial products and imaging solutions deployed in under-resourced areas. His work has been published in peer-reviewed journals and conferences. He is the co-organizer of the “Gaze meets ML” workshop at NeurIPS.