{"id":9466,"date":"2026-10-01T10:24:40","date_gmt":"2026-10-01T08:24:40","guid":{"rendered":"https:\/\/nersc.no\/?post_type=employee&#038;p=9466"},"modified":"2026-10-01T13:09:35","modified_gmt":"2026-10-01T11:09:35","slug":"mathilde-berger","status":"publish","type":"employee","link":"https:\/\/nersc.no\/en\/ansatt\/mathilde-berger\/","title":{"rendered":"Mathilde Berger"},"content":{"rendered":"<p>Mathilde Berger obtained her master&#8217;s degree in Ocean Data Sciences from the University of Western Brittany in 2026, in parallel with her engineering degree from IMT Atlantique in Brest (France).<\/p>\n<p>Berger&#8217;s research interest focuses on climate modeling\u00a0using\u00a0machine learning. She is motivated by the challenge of understanding and predicting climate changes, particularly the ocean&#8217;s role in it. Her PhD project is about\u00a0building\u00a0a data-driven generative\u00a0emulator of the coupled ice-ocean-biogeochemical TOPAZ model. The focus is on assessing the emulator\u2019s reliability:\u00a0whether the error bars derived from the ensemble spread encompass the actual errors or not.<\/p>\n","protected":false},"featured_media":9469,"template":"","class_list":["post-9466","employee","type-employee","status-publish","has-post-thumbnail","hentry"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/nersc.no\/en\/wp-json\/wp\/v2\/employee\/9466","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nersc.no\/en\/wp-json\/wp\/v2\/employee"}],"about":[{"href":"https:\/\/nersc.no\/en\/wp-json\/wp\/v2\/types\/employee"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nersc.no\/en\/wp-json\/wp\/v2\/media\/9469"}],"wp:attachment":[{"href":"https:\/\/nersc.no\/en\/wp-json\/wp\/v2\/media?parent=9466"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}