{"id":8828,"date":"2023-02-15T12:18:09","date_gmt":"2023-02-15T11:18:09","guid":{"rendered":"https:\/\/www.intalent.udc.gal\/?page_id=8828"},"modified":"2023-03-29T13:46:19","modified_gmt":"2023-03-29T11:46:19","slug":"veronika-chobanova","status":"publish","type":"page","link":"https:\/\/www.intalent.udc.gal\/gl\/investigadores\/veronika-chobanova\/","title":{"rendered":"Veronika Chobanova"},"content":{"rendered":"

[vc_row row_mask_bg=”” row_arrow=”” el_class=”p-140-cont pb-0″ css=”.vc_custom_1494861745759{margin-top: 0px !important;margin-bottom: 0px !important;}”][vc_column width=”1\/2″][vc_custom_heading text=”Veronika Chobanova” font_container=”tag:h2|font_size:45px|text_align:left|line_height:1″ google_fonts=”font_family:Lato%3A100%2C100italic%2C300%2C300italic%2Cregular%2Citalic%2C700%2C700italic%2C900%2C900italic|font_style:300%20light%20regular%3A300%3Anormal” cms_custom_headding_type=”heading-borderleft-textbold” css=”.vc_custom_1675266205933{margin-bottom: 0px !important;}”][\/vc_column][vc_column width=”1\/2″][\/vc_column][\/vc_row][vc_row el_class=”p-140-cont pb-0″ css=”.vc_custom_1440603786345{margin-bottom: 100px !important;background-color: #ffffff !important;}”][vc_column][vc_empty_space height=”15px”][vc_row_inner equal_height=”yes” content_placement=”middle” cms_row_inner_overflow=””][vc_column_inner width=”1\/4″][vc_single_image image=”8815″ img_size=”full” alignment=”center” vc_none_hover_effect=””][vc_column_text css=”.vc_custom_1680090376703{margin-left: 35px !important;padding-left: 25% !important;}” el_class=”hidden”]\"\"<\/a>[\/vc_column_text][vc_empty_space height=”15px”][vc_empty_space height=”30px”][\/vc_column_inner][vc_column_inner width=”1\/12″ offset=”vc_hidden-xs”][\/vc_column_inner][vc_column_inner width=”2\/3″][vc_column_text]Veronika Chobanova \u00e9 experta en f\u00edsica de part\u00edculas. Obtivo a s\u00faa licenciatura na Universidade T\u00e9cnica de Munich. Veronika fixo o seu doutoramento no Instituto Max Planck de F\u00edsica e obtivo o seu t\u00edtulo na Universidade Ludwig Maximilian de Munich en 2015. Para a s\u00faa tese mediu propiedades fundamentais de part\u00edculas utilizando datos do experimento do colisionador Belle en Xap\u00f3n e obtivo os mellores resultados do mundo.<\/p>\n

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Veronika incorporouse \u00e1 Universidade de Santiago de Compostela e ao IGFAE en 2015 como investigadora postdoutoral. Desde ent\u00f3n, foi membro do experimento LHCb no Gran Colisionador de Hadrones (CERN). LHCb \u00e9 unha colaboraci\u00f3n de 1500 membros onde Veronika ocupou importantes postos de responsabilidade para liderar equipos internacionais de investigadores. Dirixe unha das medici\u00f3ns emblem\u00e1ticas do LHCb, a dunha fase chamada phis, onde produciu os resultados m\u00e1is precisos do mundo. Ademais desenvolve m\u00e9todos novos baseados en redes neuronais profundas para aumentar a precisi\u00f3n deste e outros resultados f\u00edsicos importantes do LHCb.<\/p>\n

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Ademais da bolsa Ram\u00f3n y Cajal, Veronika obtivo moitas outras bolsas e premios, inclu\u00edda unha Asociaci\u00f3n correspondente do CERN, un Juan de la Cierva – incorporaci\u00f3n (2017) e un Discovery Early Career Award (2020, Australia). Ten m\u00faltiples publicaci\u00f3ns, case exclusivamente en revistas de alto perfil. Veronika \u00e9 revisora dalgunhas das principais revistas da s\u00faa \u00e1rea e revisa solicitudes de subvenci\u00f3ns para o Australian Research Council e FONCYT (Arxentina). Organizou importantes congresos internacionais con centos de participantes.[\/vc_column_text][\/vc_column_inner][vc_column_inner][vc_empty_space height=”15px”][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row row_mask_bg=”” row_arrow=”” css=”.vc_custom_1494861130580{background-color: #f4f4f4 !important;}”][vc_column][vc_empty_space height=”15px”][vc_empty_space height=”15px”][vc_row_inner][vc_column_inner width=”1\/2″][vc_custom_heading text=”Proxecto” font_container=”tag:h3|font_size:35px|text_align:left|line_height:1″ google_fonts=”font_family:Lato%3A100%2C100italic%2C300%2C300italic%2Cregular%2Citalic%2C700%2C700italic%2C900%2C900italic|font_style:300%20light%20regular%3A300%3Anormal” cms_custom_headding_type=”heading-borderleft-textbold” css=”.vc_custom_1493987604000{margin-bottom: 0px !important;}”][vc_empty_space height=”15px”][\/vc_column_inner][vc_column_inner width=”1\/2″][\/vc_column_inner][vc_column_inner][vc_column_text]<\/p>\n

\u00c9 membro do experimento LHCb no Gran Colisionador de Hadrones (CERN) onde ocupou importantes postos de responsabilidade para liderar equipos internacionais de investigadores.<\/p>\n

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Os obxectivos de LHCb son atopar part\u00edculas ou forzas da natureza non descubertas ata o de agora mediante a realizaci\u00f3n de medici\u00f3ns de alta precisi\u00f3n. Veronika estivo liderando a medici\u00f3n insignia de LHCb dunha fase chamada phis onde produciu os resultados m\u00e1is precisos do mundo no pasado. Neste proxecto, desenvolver\u00e1 t\u00e9cnicas novas para esta an\u00e1lise particularmente complexa para mellorar a\u00ednda m\u00e1is a s\u00faa precisi\u00f3n. Centrarase na etiquetaxe de sabor, que \u00e9 un ingrediente crucial para esta e outras medidas importantes de LHCb. Veronika estudar\u00e1 un novo enfoque, a etiquetaxe de sabor inclusivo, que se basea en redes neuronais profundas e ten como obxectivo explotar os datos de maneira \u00f3ptima. Isto promete non s\u00f3 aumentar as posibilidades de atopar efectos f\u00edsicos desco\u00f1ecidos ata o de agora en phis e outras medici\u00f3ns relacionadas, sen\u00f3n que tam\u00e9n abrir\u00e1 novas posibilidades para ampliar o programa de f\u00edsica do LHCb.<\/p>\n

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