SORS: Large-Scale Machine Learning in Cancer and Brain Research: New Applications That Will Drive Future Supercomputing Systems

Date: 14/Jun/2016 Time: 09:00


Sala d'Actes FIB

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15th December 2022. 10:30 am. UPC's Vèrtex Building Auditorium + Gardens & Virtual

We are looking forward to celebrating the BSC staff annual meeting this year.

As in the previous edition, the event will be online and shorter.

The event will begin on December 15th at 10:30 am. We will send you a link nearer the time so you can connect.

Even more than normal, we hope that as many BSC staff as possible will be able to attend and participate.

You can participate by telling us:

What you would like to know about?

Let us know which subjects you find interesting to be incorporated into the BSC directors’ presentations.
Deadline exceeded

What would you like to listen to?

What you would like to share?

We would like to know more about your work, so we have booked one hour of the Annual Meeting to listen to 6 BSC employees that will explain what they do. We encourage you to be one of them.

What I would like to explain

Coming soon

 BSC Talks

We have booked time for 6 employees to explain in 6 minutes what you do at BSC.

The event will be VIRTUAL but the BSC Talks will be presented from the studio where the event is taking place.

We would like you to make short, attractive presentations (6 minutes) so all the BSC staff know what you do.

You could be one of those to go up the stage, and we will help you to prepare it.

What will you need to do?

  1. Let us know about what you would like to explain.
    • Send us a short video (landscape) of 45 seconds’ maximum explaining what you would like to present at
    • State your name, department, research group and a provisional title for your talk.
    • Deadline: November 29th.
  2. All the BSC staff will vote for the 6 most interesting proposals.
    • All videos will be available at the web page and the voting process will be open. Each employee will be able to vote up to 3 proposals.
  3. If your proposal is one of the chosen ones:
    • A training session will be organized for the 6 most voted.
  4. Prepare a 6 minutes’ presentation.
  5. The best presentation of December 15th will be awarded!

Directors’ presentation of 2022

We would like to know what subjects you are interested in so as to incorporate them in the directors’ presentation of the center. Fill in this form with your questions.

Speaker: Rick Stevens, Argonne National Laboratory and University of Chicago

Abstract: In this talk I’ll discuss the DOE/NCI cancer research co-design projects that are a key part of the Presidential Moonshot Cancer Initiative and the brain connectome project at the heart of the National Brain Observatory concept being developed at Argonne.  These two projects are aimed at major problems in cancer and brain research and are emerging as major Exascale computing drivers that require the integration of large-scale machine learning, data analytics and simulation.  I will also discuss our Argonne computing roadmap including the Athena, Theta and Aurora supercomputers and new directions we are investigating for hardware acceleration of deep learning applications in future large-scale platforms.

Bio: Rick L. Stevens is the Associate Laboratory Director of Computing, Environment, and Life Sciences (CELS) at Argonne National Laboratory, which is the U.S. Department of Energy’s (DOE’s) oldest lab for science and energy research.  The CELS directorate that he leads includes the Argonne Leadership Computing Facility, the Advanced Protein Characterization Facility and the DOE’s Atmospheric Climate Research Facility Southern Great Plains Site. He leads Argonne’s computational genomics program. He is a professor of computer science at the University of Chicago (UChicago) and is involved in interdisciplinary studies at the Computation Institute and at the Institute for Genomics and Systems Biology, where he holds senior fellow appointments.

Stevens is also Principle investigator for the NIAID Bioinformatics Resource Center program where his group has developed computational tools and genomics databases to support infectious disease research.  He is lead of the DOE/NCI pilot project for modeling cancer drug response for cell lines and patient derived xenografts, that combines machine learning, optimal experimental design and hybrid modeling that integrates statistical and mechanistic modeling approaches.   He also leads the multi laboratory DOE exascale applications project on scalable methods for predictive oncology. Stevens is co-principal investigator, chief technical officer, and chief architect of the DOE Systems Biology Knowledgebase project, an emerging software and data environment designed to enable researchers to collaboratively generate, test and share new hypotheses about gene and protein functions, perform large-scale analyses on a scalable computing infrastructure, and model interactions in microbes, plants, and their communities. 

Stevens is interested in the development of innovative tools and techniques that enable computational scientists to solve important large-scale problems on advanced computers. His research focuses on two principal areas: high-performance computer architectures, and computational problems in the life sciences. In addition to his research work, Stevens teaches courses on computer architecture, collaboration technology, parallel computing, and computational science. He serves on many national and international advisory committees and still finds time to occasionally write code and play with his 3D printer.