Lotfi Slim

Lotfi Slim is a Genomics Solution Architect at Nvidia, where he helps both academia and industry optimize the performance of their genomics workloads.1 He is also a Solutions Architect for AI/ML (Artificial Intelligence/Machine Learning) and Genomics at NVIDIA, located in London, England, United Kingdom.3

Slim leverages GPUs through Deep Learning and HPC CUDA code to address computational challenges in genomic data.1 Prior to joining Nvidia in November 2020, he was a doctoral student at MINES ParisTech from December 2016 to June 2020, where he developed new machine learning methods for genomics.3 His doctoral work was supervised by Clément Chatelain (Sanofi), Jean-Philippe Vert (Mines ParisTech/Google Brain), and Chloé-Agathe Azencott (Mines ParisTech/Institut Curie).3 During the same period, from December 2016 to December 2019, Slim was also a Research Scientist at Sanofi as part of a CIFRE fellowship within the bioinformatics team.3

Lotfi Slim holds a master’s degree in Statistical Learning from Ecole Normale Superieure and an engineering degree in applied statistics from Mines ParisTech.1 He has also earned certifications in Deep Learning from Udacity, Fundamentals of Parallelism on Intel Architecture from Intel Corporation, and Fundamentals of Accelerated Computing with CUDA C/C++ from NVIDIA.3

According to his Semantic Scholar profile, Lotfi Slim has co-authored 10 scientific research papers with 3 highly influential citations.2