Sarah Volinsky is a deep learning engineer with specific expertise in computational pathology. She is completing her 4-year PhD research in The Leiden University Medical Center in the Netherlands where she is the principal junior researcher of the AIRMEC team, a joint collaboration with Dr. Tjalling Bosse and Dr. Nanda Horeweg at the Leiden University Medical Center and Prof. Viktor Koelzer at the University Hospital of Basel. As part of her PhD research work, she has been developing deep learning models using histology images, outcomes, genomic data, specifically in the domain of endometrial cancer for predicting molecular alterations and outcomes. This has led to two first author publications in the Lancet digital health 2023, Nature Medicine 2024 and platform presentations in several international conferences including USCAP and AACR. Prior to this, she was working in the UK as a machine learning engineer after completing her second Msc in Data Science in London. She has also graduated from a Msc in financial engineering and a bachelor in mathematics in Paris.