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UID:0-5661@eng.ufl.edu
DTSTART;TZID=America/New_York:20230220T150000
DTEND;TZID=America/New_York:20230220T160000
DTSTAMP:20251201T181912Z
URL:https://www.eng.ufl.edu/news-events/events/bme-seminar-modeling-stocha
 stic-cancer-dynamics-in-complex-tumor-microenvironments/
SUMMARY:BME Seminar: Modeling Stochastic Cancer Dynamics in Complex Tumor M
 icroenvironments
DESCRIPTION:Adam L. MacLean\, Ph.D.\, Assistant Professor in Quantitative a
 nd Computational Biology\, USC Dornsife College of Letters\, Arts and Scie
 nces\, University of Southern California\nTumors thrive on heterogeneity. 
 Computational models that account for complex tumor microenvironments and 
 cell state plasticity are a crucial component for better understanding dis
 ease progression. Single-cell genomics data offer powerful new means to co
 nstrain models to data and make predictions. We develop models of complex 
 tumor dynamics in light of single-cell data. We study the role of myeloid-
 derived suppressor cells in metastatic breast cancer with stochastic delay
  differential equations. Informed by clinical response data\, we fit model
 s to individual patient data and discover that inhibition of NK cells play
 s a critical role in determining response. We study epithelial-mesenchymal
  transition across cancers and stimuli\, fitting models through Bayesian p
 arameter inference to identify genes that mark for the dynamics of interme
 diate cell state transitions. Overall\, we argue that combination of dynam
 ical systems modeling with statistical inference on single-cell genomics d
 ata provides unique opportunities to learn the cell state dynamics underly
 ing disease and predict new tumor biomarkers.\nBio:\nAdam MacLean studies 
 cell fate decision-making in stem cells and cancer. He has developed metho
 ds for cell-cell communication network inference and models of gene regula
 tory dynamics constrained by single-cell genomics data via statistical inf
 erence. He is an Assistant Professor in the Department of Quantitative and
  Computational Biology at the University of Southern California. He comple
 ted a PhD at Imperial College London\, followed by postdoc positions at th
 e University of Oxford and the University of California\, Irvine. Awards f
 or his work since starting a lab at USC in 2019 include an NSF CAREER awar
 d and an early-career NIH MIRA award.
CATEGORIES:Seminars
LOCATION:Communicore Room C1-17\, 1249 Center Dr.\, Gainesville\, FL\, 3261
 0\, United States
GEO:29.640849;-82.34479
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1249 Center Dr.\, Gainesvil
 le\, FL\, 32610\, United States;X-APPLE-RADIUS=100;X-TITLE=Communicore Roo
 m C1-17:geo:29.640849,-82.34479
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DTSTART:20221106T010000
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