Fast Machine Learning for Science Conference 

 

We are pleased to announce that the Fast Machine Learning for Science event at Purdue University, taking place from October 15-18, 2024, is now open for abstract submission and registration.

 

The first three days will consist of workshop-style sessions with invited and contributed talks. The final day will be dedicated to technical demonstrations and satellite meetings. The event will be hybrid, with both an in-person venue and a virtual attendance option.

 

The Indico page for the meeting can be found here: https://indico.cern.ch/event/1387540/overview

 

Important Dates:

Abstract submission deadline: September 16, 2024

In addition to standard and lightning talks, we are also offering a poster option for accepted lightning talks (4 min + 1 min Q&A).

Registration Details: Once your registration is confirmed, please follow the link provided in the confirmation email to pay the registration fee. Your registration will be marked as complete within one to two days.

Accommodation: Please note that October 18 is a Purdue Home Game Day, so hotels will be in high demand. We strongly recommend booking accommodations early to avoid any inconvenience. Travel and accommodation details can be found here:

If you have access to a car, please consider staying at hotels further from campus (within a 15/20 minute drive), so that participants without cars can have access to the hotels within walking distance of the venue.

 

Local Organizing Committee:

Mia Liu (Chair)

Maria Dadarlat (Co-chair)

Andy Jung

Norbert Neumeister

Wei Xie

Paul Duffel

Haitong Li

Guang Ling

Eugenio Culurciello

Yong Chen

Alexandra Boltasseva

Laimei Nie

 

Scientific Committee:

Thea Aarrestad (ETH Zurich)

Javier Duarte (UCSD)

Phil Harris (MIT)

Burt Holzman (Fermilab)

Scott Hauck (U. Washington)

Shih-Chieh Hsu (U. Washington)

Sergo Jindariani (Fermilab)

Mia Liu (Purdue University)

Allison McCarn Deiana (Southern Methodist University)

Mark Neubauer (U. Illinois Urbana-Champaign)

Jennifer Ngadiuba (Fermilab)

Maurizio Pierini (CERN)

Sioni Summers (CERN)

Alex Tapper (Imperial College London)

Verena Martinez Outschoorn (UMass Amherst)