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SUMMARY:Turning Tissue Maps into Tissue Models: Spatial Biology\, Machine 
 Learning\, and Dynamics
DTSTART:20260518T121500
DTEND:20260518T131500
DTSTAMP:20260509T051617Z
UID:8b0a6bfb89b8d59d1511c0f0e31ffc04c75848008bcb87394522ddbe
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. John Hickey\, Duke University\, Durham\, NC\, USA\nEPFL 
 BIOE TALKS SERIES (sandwiches provided)\n\nAbstract:\nCan we turn a biops
 y into a tissue time machine? My lab combines spatial-omics\, multiplexed 
 imaging\, machine learning\, and agent-based modeling to ask how multicell
 ular tissues are built\, how they differ across disease\, and how they cha
 nge over time. We use machine learning to reconstruct tissue architecture 
 and identify recurring organizational patterns\, and mechanistic models to
  test how those patterns emerge and respond to perturbation. The long-term
  goal is to build virtual tissues that turn spatial biology from a descrip
 tive map into a predictive framework.\n\nBio:  \nJohn Hickey is an Assist
 ant Professor of Biomedical Engineering at Duke University whose lab creat
 es next-generation spatial omics\, imaging\, biomaterials\, and computatio
 nal tools to map and engineer multicellular interactions in tissues. Hicke
 y earned his PhD in Biomedical Engineering at Johns Hopkins and trained as
  a systems immunology postdoctoral fellow at Stanford. He has received maj
 or early-career honors\, such as the NSF CAREER Award\, V Foundation Schol
 ar Award\, HFSP Early Career Grant\, and has been recently shortlisted for
  the oncology Takeda Innovator Award with Nature.\n\nZoom link (with one-
 time registration for the whole series) for attending remotely: https://g
 o.epfl.ch/EPFLBioETalks\n\n\nInstructions for 1st-year Ph.D. students plan
 ning to attend this talk\, who are under EDBB’s mandatory seminar atten
 dance rule:\nIN CASE you cannot attend in-person in the room\, please mak
 e sure to\n\n	send Fiorella Ghisays a note well ahead of time (ideally
  before seminar day)\, informing that you plan to attend the talk online\,
  and\, during seminar:\n	be signed in on Zoom with a recognizable user 
 name (not any alias making it difficult or impossible to identify you).\n\
 nStudents attending the seminar in-person should collect a confirmation si
 gnature after the talk - please print your own signature sheet beforehand 
 (69 kB pdf available for download here). IMPORTANTLY: hang on to this she
 et as no signature record is being kept by anyone else!\n\n\n 
LOCATION:SV 1717 https://plan.epfl.ch/?room==SV%201717 https://go.epfl.ch/
 EPFLBioETalks
STATUS:CONFIRMED
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