Data Champions Search

I am a researcher and educator in paleoanthropology and biology. Currently, I am developing machine learning and AI applications for human evolutionary studies with the University of Cambridge Leverhulme Center for Human Evolutionary Studies and the Alan Turing Institute.

I am a PhD student based at the Cognition and Brain Sciences Unit and the Department of Psychiatry at the University of Cambridge. My research is aimed at disentangling the relationship between technology use and youth mental health. I am passionate about Open Science, and I am a junior representative of Rotterdam RIOT a science club that promotes reproducible, interpretable, open and transparent research practices. Before my PhD, I graduated in Psychology from Erasmus University Rotterdam and subsequently attended an MSc in Research Methods at the University of Oxford.

Providing bioinformatics support to ~30 research groups in the Centre for Trophoblast Research (CTR).

Dr. Pingfan Song is a senior research associate at the Machine Learning group in University of Cambridge. He is endorsed under the Global Talent by UK Research and Innovation (UKRI) in recognition of his critical contributions.  
   He has been working on trustworthy machine learning which aims to advance work on key technical underpinnings of interpretability/transparency, fairness, and robustness of machine learning systems, and to develop timely key applications in real world healthcare settings, such as medical imaging diagnosis systems. In addition to machine learning, he is also a professional in image processing, sparse modeling and sampling theory. His research has been applied to multi-disciplinary fields such as medical imaging, biological imaging, and other computational imaging tasks and inverse problems.  
   He is a STEM ambassador in UK and a mentor of in2scienceUK where he provides free teaching, career guidance and advice for A-level students in order to empower students from disadvantaged backgrounds to achieve their potential and progress to STEM and research careers. He is also Co-president of London PhD Network (LPN), a non-profit academic association promoting interdisciplinary communication.