Welcome to my personal website! I'm Magdy Saleh, a Machine Learning engineer at Predibase where we work on making model training as easy as possible. Previously I was at Gridspace where I worked on large scale Text embeddings. Before that, I was an MSCS student at Stanford University focussing on AI/Biocomputation, with a particular interest in biomedical imaging. At Stanford I completed projects in computer vision for CT scans and NLP/NLU. Before that I was an undergraduate student at UCL, where I graduated with a degree in Biomedical Engineering. During this time I was involved with the Walker-Samuel Group.

If you want to get in touch with me, drop me a line at: mksaleh at alumni dot standord dot edu

Publications

• d'Esposito, Angela, Paul W. Sweeney, Morium Ali, Magdy Saleh, Rajiv Ramasawmy, Thomas A. Roberts, Giulia Agliardi, et al. "Computational Fluid Dynamics with Imaging of Cleared Tissue and of in Vivo Perfusion Predicts Drug Uptake and Treatment Responses in Tumours." Nature Biomedical Engineering 2, no. 10 (October 10, 2018) [Nature Biomedical Engineering]

• Neural based event-driven stock rally prediction using SEC filings and Twitter data
• A Graph Based Analysis of Tumor Vessel Networks