Konstantin is a quantitative researcher with a PhD in cognitive science from the Max Planck School of Cognition, focused on large-scale behavioural modelling and synthetic population simulation. He previously trained at Harvard and Cambridge and is a Joachim Herz Foundation Fellow. He works on structuring heterogeneous behavioural data into computable trait spaces that can be used to simulate and predict decision-making. His work bridges psychometrics, behavioural science, and LLM-based simulation systems for population-level modelling.

Jacopo is a Data Scientist and Data Engineer. During his PhD at the University of Zurich, he used novel AI methods to predict symptom trajectories from smartphone-based observational and self-reported patient data, and created structured metadata vocabularies to improve the usability of sparse real-world datasets. At Delta Labs, he owns the data infrastructure, ensuring its scalability and extending its capabilities to power AI twins.

Lucas is a computational neuroscientist specializing in generative machine learning models for neuroscience and decision-making data. His work focuses on inferring the latent dynamics that drive complex behavioral and neural time series, with direct applications to simulating human decision-making at scale. Before joining Delta Labs, Lucas completed his PhD in Neuroinformatics at UZH & ETH Zurich and held a postdoctoral position at the Institute of Neuroinformatics. He holds an MSc in Artificial Intelligence from the University of Edinburgh. His interests lie at the intersection of generative AI, computational neuroscience, and behavioural modelling for synthetic population simulation.