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DTSTAMP:20260628T210812Z
UID:a98eb68d-42e8-406c-8bef-50ec5465e394
DTSTART:20231005T090000Z
DTEND:20231005T170000Z
DESCRIPTION:This special edition of the PerMedCoE webinar series features s
 peakers who were awarded poster prizes at the PerMedCoE Summer School 2023
 . Find out more about our speakers and their research.\n\n- Towards Tailor
 ed Cancer Therapies: Robust platform for drug testing in patient-specific 
 Boolean models - Viviam Bermúdez\n\n- Computational modelling of High Gra
 de Serous Ovarian Cancer (HGSOC) - Marco Fariñas\n\n- Dissecting cellular
  communication in the tumour microenvironment through multiscale dynamical
  modelling - Malvina Marku\n\n### About the speaker\n\n**Viviam Bermúdez*
 * is a PhD candidate at the Norwegian University of Science and Technology
 \, specialising in Boolean models. Her academic journey began in general b
 iology back in her home country\, Venezuela\, at Simón Bolívar Universit
 y. Then\, she hopped over to Norway for a one-year student exchange\, wher
 e she unexpectedly found herself staying longer to complete a master’s d
 egree in molecular cell biology – diving deep into systems biology and c
 ell modelling. Now\, in her Computational Cancer Biology PhD\, she combine
 s machine learning and modelling to address complex challenges of precisio
 n medicine. Beyond her coding skills\, she also has green fingers\, so she
  finds peace caring for her plants during her free time. Looking ahead\, s
 he aspires to contribute to the field of precision medicine through her Ph
 D project and continue exploring the fascinating world of “digital-twins
 ” – without forgetting the ethical side of things.\n\n**Marco Fariñas
 **\, originally from Ponferrada\, in north-western Spain\, is an enthusias
 tic nature lover who enjoys spending free time outdoors. His academic jour
 ney began with a Bachelor’s degree in Biology at the Complutense Univers
 ity of Madrid. Following his interest for cellular and molecular biology\,
  he moved to Trondheim\, Norway\, where he pursued a Master’s degree at 
 the Norwegian University of Science and Technology (NTNU). During this per
 iod\, Marco did his thesis focusing on Boolean modelling of macrophage pol
 arisation and its relevance to acute COVID-19. This research was conducted
  under the guidance of Martin Kuiper within the DrugLogics group. Followin
 g the completion of the Master’s program\, Marco moved to Barcelona and 
 joined Marta Cascante’s research group\, at Barcelona University. There\
 , he delved into the intricate metabolic alterations triggered by SARS-CoV
 -2 infection. In his latest pursuit\, Marco returned to Trondheim to start
  his PhD journey at NTNU\, under the supervision of Kaisa Lehti. His resea
 rch leverages Boolean modelling to explore the dynamics of the tumour micr
 oenvironment and its influence on the aggressiveness of high-grade serous 
 ovarian cancer.\n\n**Malvina Marku** studied her undergraduate degree in P
 hysics at the University of Tirana\, Albania\, where she pursued her MSci 
 project in the field of Nonlinear Dynamics\, studying the qualitatively un
 iversal behaviour of recursive systems. As a PhD student on Computational 
 Physics at the University of Tirana\, her PhD thesis focused on mathematic
 al modelling of regulatory networks and inference methods of network react
 ion rates. She joined Pancaldi’s lab at the Cancer Research Center of To
 ulouse as a postdoc where she is currently working on multi-scale dynamica
 l modelling of the tumour microenvironment. The research is focused on Chr
 onic Lymphocytic Leukaemia (CLL) microenvironment\, and the crucial role o
 f the cancer cell-immune cell interaction in defining the cancer cell surv
 ival. Her main interest is in applying dynamical modelling and networks th
 eory to study the dynamics and emerging behaviour of complex biological sy
 stems\, and to gain a deeper understanding of systems’ evolution from th
 e molecular network perspective. She is interested in using computational 
 models that are able to capture emerging biological behaviour and evolving
  patterns in spatially structured tumours for enabling more accurate and c
 linically relevant predictions regarding disease course and treatment outc
 ome.
LOCATION:\, 
SUMMARY:Poster winners\, PerMedCoE Summer School 2023
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/poster-winners-permedco
 e-summer-school-2023
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