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SUMMARY:Keynote - How Open Source Tools Power the Efforts of Biological Da
 ta Analysis and Drug Discovery - Angela Pisco
DTSTART;TZID=America/Chicago:20230713T091500
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DTSTAMP:20261015T205110Z
UID:pretalx-2023-DQQBWR@cfp.scipy.org
DESCRIPTION:Angela Pisco is the head of computational biology at insitro. 
 She is passionate about extracting meaningful information from biomedical 
 datasets and use that to improve disease understanding and drug developmen
 t. She has studied Biomedical Engineering as BSc and MSc and have a PhD in
  Systems Biology. Her PhD work became the foundation of a new direction of
  thinking on why cancer develops resistance to chemotherapy\, which is the
  major reason for treatment failure. In her postdoctoral work\, she invest
 igated the mechanisms of cellular differentiation in the skin. She develop
 ed a 3D computational model that recapitulated the observed changes in the
  mouse skin connective tissue and dermis during development. The combinati
 on of the mathematical analysis with experimental data led to a new unders
 tanding of how distinct fibroblast subpopulations become activated\, proli
 ferate\, and deposit matrix proteins during wound healing. Before moving t
 o insitro\, she led the Data Science platform at CZ Biohub. There she made
  significant contributions for the whole organism cell atlas projects incl
 uding the first whole mouse cell atlas\, the first aging cell atlas\, and 
 Tabula Sapiens\, one of the first Human Cell Atlas drafts (The Tabula Sapi
 ens Consortium\, Science 2022). She is also a founder and core member of O
 pen Problems in Single Cell (openproblems.bio)\, a community effort to imp
 rove multimodal data analysis by both generating gold standard datasets an
 d benchmarking metrics and infrastructure.
LOCATION:Zlotnik Ballroom
URL:https://cfp.scipy.org/2023/talk/DQQBWR/
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