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<p class="MsoNormal">Dear Colleagues,<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">We will be livestreaming the upcoming workshop "Data-Driven Discovery: AI and Modeling in Biology" organized by Anton Arkhipov (Allen Institute), Tatiana Engel (Princeton), Michael Brenner (Harvard/Google), and Stephen Saalfeld (Janelia).<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Hosted by the Allen Institute on September 23-25, 2024, the meeting brings together experts who will discuss how problems in biology are being solved using recent developments in both AI and modeling.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Please see the streaming link at the meeting website: <a href="https://alleninstitute.org/events/data-driven-discovery-ai-and-modeling-in-biology/">
https://alleninstitute.org/events/data-driven-discovery-ai-and-modeling-in-biology/</a><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">The goal of this meeting is to explore how problems in biology are being solved using cutting-edge computational approaches, with the focus on recent developments in both AI and modeling, including merging the two. Biology is a broad field.
We aim to connect researchers across a wide range of computational biology to learn from each others approaches.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Agenda is below (all times listed as Pacific Standard Time).<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">==================================================<o:p></o:p></p>
<p class="MsoNormal"><b>Monday, September 23, 2024<o:p></o:p></b></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">2:002:15pm Welcome and opening remarks<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">2:153:15pm KEYNOTE- David Baker, University of Washington<o:p></o:p></p>
<p class="MsoNormal">Protein design for molecular recognition<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">3:153:45pm Bing Brunton, University of Washington<o:p></o:p></p>
<p class="MsoNormal">Embodied intelligence through integrated neuromechanical models of natural behavior<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">3:454:15pm Andreas Tolias, Stanford University<o:p></o:p></p>
<p class="MsoNormal">NeuroAI: Building Digital Twins of the Brain<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b>Tuesday, September 24, 2024<o:p></o:p></b></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">9:009:30am Matheus Viana, Allen Institute for Cell Science<o:p></o:p></p>
<p class="MsoNormal">Towards a holistic and quantitative stem cell state landscape<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">9:3010:00am Kim Stachenfeld, Columbia University/Google DeepMind<o:p></o:p></p>
<p class="MsoNormal">Learning to Simulate and Control Fluid Dynamics with Graph Neural Networks<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">10:0010:30am Armita Nourmohammad, University of Washington<o:p></o:p></p>
<p class="MsoNormal">Learning the shape of the protein and immune universe<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">10:30-11:00am Break<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">11:0011:30am Mariano Gabitto, Allen Institute for Brain Science<o:p></o:p></p>
<p class="MsoNormal">Deep generative models for the multimodal analysis of single-cell datasets<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">11:3012:00pm Roy Kishony, Technion-Israel Institute of Technology<o:p></o:p></p>
<p class="MsoNormal">AI driven science<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">12:0012:30pm Stefan Mihalas, Allen Institute<o:p></o:p></p>
<p class="MsoNormal">Why is the activity in the brain so variable?<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">12:30-2:00pm Break<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">2:002:30pm Michael Elowitz, California Institute of Technology<o:p></o:p></p>
<p class="MsoNormal">Many-to-many protein networks as flexible computational modules<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b>Wednesday, September 25, 2024</b><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">9:0010:00am KEYNOTE- Emily Fox, Stanford University, insitro<o:p></o:p></p>
<p class="MsoNormal">Machine Learning for Better Medicines<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">10:0010:30am Xiaojun Li, Allen Institute for Immunology<o:p></o:p></p>
<p class="MsoNormal">Application of AI in Immunology Research<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">10:30-11:00am Break<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">11:0011:30am Gokul Upadhyayula, University of California Berkeley<o:p></o:p></p>
<p class="MsoNormal">Navigating challenges and opportunities with high-resolution in vivo imaging<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">11:3012:00pm Laura Driscoll, Allen Institute for Neural Dynamics<o:p></o:p></p>
<p class="MsoNormal">Fast and slow learning in artificial and biological networks<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">12:0012:30pm Eric Shea-Brown, University of Washington<o:p></o:p></p>
<p class="MsoNormal">Assigning credit through the "other connectome<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">12:30-2:00pm Break<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">2:002:30pm Viren Jain, Google<o:p></o:p></p>
<p class="MsoNormal">Simulating a zebrafish brain with functional connectomics and AI<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">2:303:00pm Kristin Branson - Janelia Research Campus, Howard Hughes Medical Institute<o:p></o:p></p>
<p class="MsoNormal">What can we learn from deep-learning-based forecasting models of biological time series?<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">3:003:30pm Ben Cowley, Cold Spring Harbor Laboratory<o:p></o:p></p>
<p class="MsoNormal">Mapping model units to visual neurons reveals population code for social behavior<o:p></o:p></p>
<p class="MsoNormal">==================================================<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Best regards,<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Anton Arkhipov<o:p></o:p></p>
<p class="MsoNormal">Investigator, Allen Institute<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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