Machine Learning for Science Workshop at LBNL

Dates: September 4-6, 2018

Location: LBNL Building 50 Auditorium

Abstract deadline: Aug 24, 2018 [Closed]

Registration deadline: Aug 27, 2018 [Closed]

Cost: free

We invite you to the inaugural workshop on machine learning for science at LBNL, ML4Sci, organized jointly with the annual NERSC Data Day. This workshop will feature excellent work on scientific ML applications at the lab, covering high energy physics, nuclear physics, cosmology, chemistry, biosciences, materials engineering, climate and high performance computing. The talks will provide overviews of the state of the art in ML methodology and technology, and provide hands-on training for deploying ML applications on NERSC platforms.

Call for abstracts

Abstract submission is now closed, and available at this link.


Registration is free. The deadline is Aug 27, 2018. Please fill out the form at this link. [Closed]

The registration form includes the optional field for abstract submission. Please indicate which days you intend to attend so we can get an accurate headcount for logistical planning.

This registration form is sufficient to attend the tutorial sessions on Sep 6, but if you're interested in attending the full Data Day event please register at


The first day of the workshop will feature introductory talks on the fundamentals of statistical inference, machine learning, and deep learning, followed by invited overview talks on machine learning challenges and applications for scientific domains. The second day will feature contributed talks on applications and methods.

View the full agenda here.


The main workshop program will be hosted in the building 50 auditorium. We will provide Zoom link for remote participants.

The poster session location will be in the cafeteria annex in building 54 on Tue, Sep 4, at 5pm.

Remote participation

We will broadcast the sessions over zoom. Here is the information:

Join from PC, Mac, Linux, iOS or Android:

Or iPhone one-tap :

US: +16465588656,,259187594# or +16699006833,,259187594#

Or Telephone:

Dial(for higher quality, dial a number based on your current location):

US: +1 646 558 8656 or +1 669 900 6833

Meeting ID: 259 187 594

International numbers available:


Organizers: Steven Farrell (, Kristofer Bouchard (, Zarija Lukić (, Daniela Ushizima (, Mustafa Mustafa (, Prabhat (

Admin support: Zaida McCunney (, Madelyn Blair (, Seleste Rodriguez (