Dr Martín Lotto Batista is a researcher with the Global Health Resilience team at the Barcelona Supercomputing Center. He focuses on understanding the climatic drivers of zoonotic and vector-borne infectious diseases, and in developing practical prediction models using Bayesian methods.

Martín’s academic journey began in Argentina, where he obtained his degree in Biology, focusing on the epidemiology of the Hepatitis E Virus (HEV). He later completed an MSc in Epidemiology at the London School of Hygiene & Tropical Medicine, where he studied the interactions between the El Niño–Southern Oscillation (ENSO) and leptospirosis in South America.

His expertise has taken him to Ecuador, where he carried out field research on chronic kidney disease of unknown origin (CKDu), and to Germany, where he completed his PhD. His doctoral research expanded on his earlier work on leptospirosis, aiming to develop early outbreak detection models, while also investigating the climatic and environmental drivers of Lyme disease dynamics.

At the Global Health Resilience team, Martín contributes to the IDAlert, IDExtremes, and ENDCast projects. His work focuses on generating policy-relevant indicators of infectious disease transmission, supporting seasonal forecasting and informing climate change projections.