BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.2.3.1//EN TZID:America/Los_Angeles X-WR-TIMEZONE:America/Los_Angeles BEGIN:VEVENT UID:65@escience.washington.edu DTSTART;TZID=America/Los_Angeles:20240208T163000 DTEND;TZID=America/Los_Angeles:20240208T172000 DTSTAMP:20240111T175831Z URL:https://escience.washington.edu/events/uwdss-dorkenwald/ SUMMARY:UW Data Science Seminar: Sven Dorkenwald DESCRIPTION:\n\nPlease join us for a UW Data Science Seminar on Thursday\, February 8th from 4:30 to 5:20 p.m. PST. The seminar will feature Sven Dor kenwald\, a Shanahan Foundation Fellow with the Allen Institute and the Un iversity of Washington.\n\nThe seminar will be held in the Electrical & \; Computer Engineering Building (ECE)\, Room 105\n\n\n \;\n"Reconstru cting the synaptic wiring diagram of the fruit fly brain"\nAbstract: Conne ctions between neurons can be mapped by acquiring and analyzing electron m icroscopic (EM) brain images. In recent years\, this approach has been app lied to chunks of brains to reconstruct local connectivity maps that are h ighly informative\, yet inadequate for understanding brain function more g lobally. We reconstructed the first neuronal wiring diagram of a whole adu lt brain\, containing 5×107 chemical synapses between ~139\,000 neurons r econstructed from a female Drosophila melanogaster. The resource also inco rporates annotations of cell classes and types\, nerves\, hemilineages\, a nd predictions of neurotransmitter identities. In this talk\, I will discu ss the technological progress in machine learning and computer systems tha t lead up to the creation of this resource. Further\, I will demonstrate i ts impact by highlighting how the connectome can be used to study the glob al organization of the brain and facilitates the tracing synaptic pathways from the inputs (e.g.\, sensory neurons) to outputs (e.g. descending neur ons). \n\nBio: Sven Dorkenwald joined the Allen Institute and the Universi ty of Washington as a Shanahan Fellow in September 2023. He received his u ndergraduate degree in Physics and a Masters degree in Computer Engineerin g at the University of Heidelberg in Germany. While in Heidelberg\, he wor ked on automated image analysis in connectomics with Jörgen Kornfeld in t he department of Winfried Denk at the Max Planck Institute for Medical Res earch. Sven received his Ph.D. in Computer Science and Neuroscience from P rinceton University\, where he worked with Sebastian Seung and Mala Murthy . During his PhD\, he developed approaches for the reconstruction and anal ysis of neuronal circuits from Electron Microscopy images and spearheaded the FlyWire consortium effort that produced a synapse-resolution connectom e of an adult Drosophila brain. Concurrently\, Sven devised a self-supervi sed approach for efficient annotation of cell reconstructions as a student researcher at Google Research. As a Shanahan Fellow\, Sven is pursuing th e integration neuroscience datasets from multiple modalities.\nThe UW Dat a Science Seminar is an annual lecture series at the University of Washin gton that hosts scholars working across applied areas of data science\, su ch as the sciences\, engineering\, humanities and arts along with methodol ogical areas in data science\, such as computer science\, applied math and statistics. Our presenters come from all domain fields and include occasi onal external speakers from regional partners\, governmental agencies and industry.\nThe 2023-2024 seminars will be held in person\, and are free an d open to the public. LOCATION:Electrical and Computer Engineering Building\, Room 105\, 185 W St evens Way NE\, Seattle\, WA\, 98195\, United States X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=185 W Stevens Way NE\, Seat tle\, WA\, 98195\, United States;X-APPLE-RADIUS=100;X-TITLE=Electrical and Computer Engineering Building\, Room 105:geo:0,0 END:VEVENT BEGIN:VTIMEZONE TZID:America/Los_Angeles X-LIC-LOCATION:America/Los_Angeles BEGIN:STANDARD DTSTART:20231105T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST END:STANDARD END:VTIMEZONE END:VCALENDAR