Carlos Dommar D’Lima holds a bachelor’s degree in Biology from Simón Bolívar University, obtained in 2000, and a Master’s degree in Computational Statistics, also from Simón Bolívar University, completed in 2002.

In 2003, he joined a Doctoral program at Potsdam University, specializing in the population dynamics of epidemiological infectious disease models within networks of contacts.

In 2008, he joined the National Institute of Aquatic Resources DTU-AQUA in Copenhagen, Denmark, as a visiting scientist, where he worked on mathematical models of niche evolution in marine predator-prey systems. In 2009, he became an associated researcher at the National Museum of Natural Sciences in Madrid, Spain, focusing on geographical species distribution models.

Following this, in 2010, he joined The Catalan Institute of Climate Sciences – IC3 in Barcelona, Catalonia, as an associated researcher. Here, he developed and worked on several epidemic models of vector-borne infectious diseases on social mobility networks and participated in various European-funded projects. During his tenure at IC3, he spent several months in 2011 at the University of Rouen in France, working on agent-based models (ABMs) to study the evolution of virulence and morbidity in epidemiological models of infectious diseases with explicit spatial contact structures.

In 2018, he transitioned to the Barcelona Institute for Global Health – ISGlobal in Barcelona, Spain, where he developed a platform for predicting autochthonous outbreaks of arboviruses in Catalonia ArboCat.

In 2022, he joined The Blanes Centre for Advanced Studies (CEAB) in Blanes, Spain, focusing on mathematical modeling of mosquito suitability and growth risk in Spain within the framework of the Mosquito Alert Platform and app MosquitoAlert.

Finally, in 2024, he became a part of the Cancer Epidemiology Research Program - PREC at the Catalan Institute of Oncology – ICO, where he is developing population microsimulation and individual-based models of cervical cancer to assess the cost-effectiveness of various vaccination and screening strategies.