Majd Saleh

Majd Saleh is a Senior Data Scientist at Servier Institute of Therapeutic Innovation in Paris-Saclay, specialising in the intersection of artificial intelligence and therapeutic discovery. He holds a PhD in Signal Processing. His expertise spans deep learning and multi-domain language modelling, including genomic, transcriptomic, chemical, and natural languages, as well as numerical optimisation and applied mathematics.

Previously, he worked as a Lead Data Scientist and Project Manager at the Institute of Research and Technology b-com in Cesson-Sévigné, France, where he developed advanced deep-learning algorithms for natural language processing and physiological time series analysis. Prior to that, during his postdoctoral fellowship at the LTSI laboratory at the University of Rennes, he designed innovative machine learning models tailored to geriatric medicine.

Beyond his research and development roles, he is an experienced educator who has trained international corporate teams on both the theoretical and practical applications of Transformer neural networks and language modelling. To date, he has authored over 25 research papers.