Cristian Verona

Parmenides Foundation (PARM), DE
Center for the Conceptional Foundations of Science
DC2 – Theory of identification, selection, and evolution of autocatalytic networks

Supervisor: Prof. Eörs Szathmáry


My academic journey began at the University of Trieste, where I earned both my BSc and MSc degrees in chemistry, specializing in bio-organic chemistry (2016-2021). Throughout my studies, I delved into the synthesis of natural compounds, biosensing technology, peptide synthesis, and protein labeling, gaining a profound understanding of molecular structures and interactions. Following the completion of my master’s thesis, I pursued practical experience in data science through a specialized course, enhancing my proficiency in programming and machine learning (2022-2023). In the meanwhile, I spent two years in the pharmaceutical industry, refining my skills in analytical techniques and instrumentation (2022-2024). Excited to contribute to DarChemDN, I bring a diverse background blending theoretical knowledge with hands-on experience. My ambition is to engage in cutting-edge research, collaborate with peers, and make meaningful contributions to scientific advancement within this dynamic project.


École Supérieure de Physique et de Chimie Industrielles de la Ville de Paris (ESPCI)

Duration: 2 months

Purpose: Characterisation of reproducing compartmentalised systems

University of Groningen (RUG)

Duration: 2 months

Purpose: Exchange between theoretical and experimental approaches.

Paradigmatic Innovations GmbH (PARA)

Duration: 3 months

Purpose: Explore the option space for and representation of the results to be achieved by the most modern knowledge-representation methods