BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//wp-events-plugin.com//7.3.1//EN
TZID:America/Los_Angeles
X-WR-TIMEZONE:America/Los_Angeles
BEGIN:VEVENT
UID:255@escience.washington.edu
DTSTART;TZID=America/Los_Angeles:20250227T163000
DTEND;TZID=America/Los_Angeles:20250227T172000
DTSTAMP:20250220T231354Z
URL:https://escience.washington.edu/events/uw-data-science-seminar-sven-do
 rkenwald/
SUMMARY:UW Data Science Seminar: Sven Dorkenwald
DESCRIPTION:Please join us for a UW Data Science Seminar featuring Shanahan
  Fellow Sven Dorkenwald on Thursday\, February 27th from 4:30 to 5:20 p.m.
  PT.\n\n\nThe seminar will be held in Hitchcock Hall 132 – Campus Map.\
 n"Reconstructing the Synaptic Wiring Diagram of the Fruit Fly Brain"\n\nAb
 stract: Connections between neurons can be mapped by acquiring and analyzi
 ng electron microscopic brain images. In recent years\, this approach has 
 been applied to chunks of brains to reconstruct local connectivity maps th
 at are highly informative yet inadequate for understanding brain function 
 more globally. We reconstructed the first neuronal wiring diagram of a who
 le adult brain\, containing >50 million chemical synapses between 139\,255
  neurons reconstructed from a female Drosophila melanogaster. In this talk
 \, I will discuss the technological progress in machine learning and compu
 ter systems that led up to the creation of this resource. Further\, I will
  highlight how the advent of large-scale connectomes is opening up new dir
 ections for neuroscience research. The technologies and open ecosystem dev
 eloped for the fly brain connectome set the stage for future large-scale c
 onnectome projects in other species. I will give an outlook on connectomes
  for large mammalian brains.\n  Biography:  Sven Dorkenwald joined the All
 en Institute and the University of Washington as a Shanahan Fellow in Sept
 ember 2023. He received his undergraduate degree in Physics and a Masters 
 degree in Computer Engineering at the University of Heidelberg in Germany.
  While in Heidelberg\, he worked on automated image analysis in connectomi
 cs with Jörgen Kornfeld in the department of Winfried Denk at the Max Pla
 nck Institute for Medical Research. Sven received his Ph.D. in Computer Sc
 ience and Neuroscience from Princeton University\, where he worked with Se
 bastian Seung and Mala Murthy. During his PhD\, he developed approaches fo
 r the reconstruction and analysis of neuronal circuits from Electron Micro
 scopy images and spearheaded the FlyWire consortium effort that produced a
  synapse-resolution connectome of an adult Drosophila brain. As a student 
 researcher at Google Researcher\, Sven devised a self-supervised machine l
 earning approach for efficient annotation of cell reconstructions. As a Sh
 anahan Fellow\, Sven is working on the analysis of new and emerging connec
 tomics datasets while pursuing new ways to integrate them with neuroscienc
 e datasets from other domains to enable multi-modal analyses.\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 2024-2025 seminars will be held in person\, and are free an
 d open to the public.
ATTACH;FMTTYPE=image/jpeg:https://escience.washington.edu/wp-content/uploa
 ds/2025/02/Sven_Dorkenwald_SQUARE_web.webp
END:VEVENT
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
X-LIC-LOCATION:America/Los_Angeles
BEGIN:STANDARD
DTSTART:20241103T010000
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
END:STANDARD
END:VTIMEZONE
END:VCALENDAR