Krystelle Lionti

I am a materials scientist and thin film nanotechnology expert with a strong interdisciplinary foundation in AI-driven software engineering, machine learning, and natural language understanding.

After earning my Ph.D. in Inorganic Chemistry (Univ. Lyon, France in 2012), I joined IBM Research to work on the integration of porous low-k materials at advanced technology nodes, in close collaboration with the Albany NanoTech facility. I then transitioned to developing chemiresistive gas sensors and contributed to an IoT-based electronic nose for VOC detection. In subsequent years, I led the development of Area Selective Deposition (ASD) processes for microelectronics applications.

In 2023, I completed a full-time internal training program to deepen my software development skills. Since then, my work has centered on building scalable microservices and AI-powered tools to accelerate materials and process discovery. Currently, I focus on developing intelligent systems that combine deep materials science expertise with advanced AI methods to transform how we discover and evaluate materials—whether to accelerate R&D, or make materials safer.