The following thesis was written by a student who graduated in 2025-2026 from the Bachelor Data Science and Artificial Intelligence programme at Leiden University.


Thesis details

TitleReconstructing Holocene ENSO Variability through the Harmonization of Heterogeneous Proxy Records using a Gaussian Process Regression Framework
StudentJong, K. de (Kaya)
ProgrammeBachelor Data Science and Artificial Intelligence
Year2025-2026
SupervisorsDr. S.D. Fajardo Bernal (first supervisor)
Saxena, dr. A. (Akrati)
Thesis Open Thesis PDF

Citation details

Jong, K. de (Kaya), Reconstructing Holocene ENSO Variability through the Harmonization of Heterogeneous Proxy Records using a Gaussian Process Regression Framework, Thesis Bachelor Data Science and Artificial Intelligence, LIACS, Leiden University, 2026.