Summary
Amal Gueroudji is an Assistant Computer Scientist at Argonne National Laboratory with eight years of experience spanning HPC, AI, compilers, big data and IoT research. Currently a PhD candidate at CEA and Université Grenoble Alpes, she has applied polyhedral compilation (notably Tiramisu GPU backends), in-situ processing, and automatic communication code generation to domains from medical imaging to road-safety sensing. Her work bridges research and practice—moving compiler techniques into real-world GPU and distributed workflows—and she has taught graph theory and contributed to extreme-scale computing training. Based in Lemont, IL, Amal combines deep systems expertise with a knack for introducing computer science to non-specialists, making complex tools accessible across disciplines.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université Grenoble Alpes
Master's degree, Computer Systems, Master's degree, Computer Systems at Ecole nationale Superieure d'Informatique (ESI)
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Ecole Doctorale Mathématiques, Sciences et Technologies de l'Information, Informatique
English, French, Berber, Arabic