BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Sabre//Sabre VObject 4.5.8//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Europe/Zurich
X-LIC-LOCATION:Europe/Zurich
TZURL:http://tzurl.org/zoneinfo/Europe/Zurich
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19810329T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19961027T030000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:news508@dbe.unibas.ch
DTSTAMP;TZID=Europe/Zurich:20260303T144657
DTSTART;TZID=Europe/Zurich:20260312T163000
SUMMARY:Introduction to Differentiable Scientific Computing in JAX + Equino
 x
DESCRIPTION:AbstractAutomatic differentiation is transforming scientific co
 mputing\, enabling gradient-based approaches to optimization. It powers mo
 dern artificial intelligence\, and now also transforms the world of scient
 ific computing\, enabling end-to-end workflows bridging both worlds. This 
 talk introduces how JAX's composable transformations and the Equinox ecosy
 stem make this practical: Equinox provides module system built on JAX's fu
 nctional paradigm with Pytorch-like syntax\, while libraries such as Diffr
 ax for differential equations\, Lineax for linear solvers\, and Optimistix
  for nonlinear optimization and root-finding — offer performant numerics
  out of the box. We'll walk through key concepts and real examples showing
  how this ecosystem enables end-to-end differentiable scientific workflows
 . \\r\\nBiosketchJohanna is a maintainer of Optimistix and an active cont
 ributor to scientific computing libraries in the Equinox ecosystem in JAX.
  She is currently a PhD researcher in systems biology at ETH Zurich.
X-ALT-DESC:<p><strong>Abstract</strong><br />Automatic differentiation is t
 ransforming scientific computing\, enabling gradient-based approaches to o
 ptimization. It powers modern artificial intelligence\, and now also trans
 forms the world of scientific computing\, enabling end-to-end workflows br
 idging both worlds. This talk introduces how JAX's composable transformati
 ons and the Equinox ecosystem make this practical: Equinox provides module
  system built on JAX's functional paradigm with Pytorch-like syntax\, whil
 e libraries such as Diffrax for differential equations\, Lineax for linear
  solvers\, and Optimistix for nonlinear optimization and root-finding — 
 offer performant numerics out of the box. We'll walk through key concepts 
 and real examples showing how this ecosystem enables end-to-end differenti
 able scientific workflows.<br />&nbsp\;</p>\n<p><strong>Biosketch</strong>
 <br />Johanna is a maintainer of Optimistix and an active contributor to s
 cientific computing libraries in the Equinox ecosystem in JAX. She is curr
 ently a PhD researcher in systems biology at ETH Zurich.</p>
DTEND;TZID=Europe/Zurich:20260312T173000
END:VEVENT
END:VCALENDAR
