These webpages contain theses and reports by students affiliated with the various bachelor and master programmes offered at the Leiden Institute of Advanced Computer Science
(LIACS),
the computer science and artificial intelligence department of Leiden University.
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
| Title | Reconstructing Holocene ENSO Variability through the Harmonization of Heterogeneous Proxy Records using a Gaussian Process Regression Framework |
| Student | Jong, K. de (Kaya) |
| Programme | Bachelor Data Science and Artificial Intelligence |
| Year | 2025-2026 |
| Supervisors | Dr. 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.