Lissette Almonte

Lissette Almonte serves as an Assistant Professor at the Autonomous University of Madrid, where she is affiliated with the MISO Research Group. Her academic work bridges Software Engineering with innovative applications of Recommender Systems in Model-Driven Engineering contexts.

Her research primarily investigates how recommender systems can enhance modeling language development and model-driven workflows. Key contributions include the creation of the Droid framework for building domain-specific recommenders and systematic analyses of recommendation techniques in modeling ecosystems. This work addresses critical challenges in automating model synthesis and improving developer productivity through intelligent tooling.

Analysis of her 2021-2023 publications reveals a strong thematic focus on the intersection of modeling languages and recommendation technologies. Her research trajectory demonstrates progression from foundational literature reviews (2021) through automated synthesis techniques (2021) to practical tool implementation (2022) and reusable integration patterns (2023), establishing her as a contributor to both theoretical frameworks and applied solutions in this niche.

Professionally active in the research community, she serves on program committees for major conferences including EQUISA 2025. Her involvement spans multiple venues such as ASE, MODELS, and SLE, reflecting engagement with both software engineering and model-driven development communities. As a core member of the MISO Group, she contributes to the Autonomous University of Madrid's software engineering research initiatives focused on modeling tools and techniques.