Amal Chebbi, Ph.D.
Data Scientist, Fitila Labs
Dr. Amal Chebbi applies machine learning, control systems and large language models to data-driven problems in energy and industry. She completed her Ph.D. in Mechanical Engineering at the University of Houston, where she developed real-time estimation and control algorithms for MOCVD semiconductor manufacturing.
Before joining Fitila in January 2025, she built retrieval-augmented agents that speed image analysis and report generation for down-hole equipment diagnostics, and, as a consultant, designed a digital-twin and hydraulic power-bank concept for offshore drilling. Her toolkit spans Python, MATLAB/Simulink, Vertex AI, Azure OpenAI and Neo4j. She is a member of ASME and the Society of Women Engineers, and a co-author of Towards EnergyGPT.