In the recent years, machine learning models have demonstrated successful applications to various fields of science. One main focus in the activities of the Swedish e-Science Research Center (SeRC) is on the use of machine learning for e-Science reflected in its dedicated multi-disciplinary project: Data Science MCP. SeRC Data Science MCP spans various subprojects from the fields of physics, life science, climate, mathematics and computer science. This workshop is intended to present the results of these subprojects within the first round of the MCP (2018-2022) and discuss the path forward. In addition, the workshop hosts two exciting invited talks and a panel discussion on the future of ML for e-Science.

How to attend

The workshop takes place on Wednesday, November 30, 2022. It is hosted at the Digital Futures Hub at Osquars Backe 5, 2nd floor, Stockholm, Sweden. This link describes how to get here.

Registration: Registration for in-person attedance is now closed.

Online attendance: Online attendance is open to the general public and does not require registration. You can watch the online streaming using the following zoom link and info:

  • Zoom Link
  • Meeting ID:695 6088 7455
  • Password:755440


  • All talks allotted time include the Q&A.
  • All times are CET.
09:00 AM – 09:30 AM Registration, Coffee, and Mingling
09:30 AM – 09:50 AM Opening Remarks

Session 1 (Physics, Mathematics, and Computer Science)

9:50 AM – 10:35 AM Invited Talk 1: "Accelerating scientific discovery using physics-informed machine learning" by Romit Maulik
10:35 AM – 10:50 AM MCP Talk 1: "Deep Learning for Turbulent Flow" By Ricardo Vinuesa
10:50 AM – 11:05 AM MCP Talk 2: "Clouds, Climate and Machine Learning" By Frida Bender
11:05 AM – 11:20 AM MCP Talk 3: "ArcLang — a programming language for continuous analytics" By Seif Haridi and Klas Segeljakt
11:20 AM – 11:35 AM MCP Talk 4: "Nonlinear eigenvalue algorithms for spectral clustering " By Elias Jarlebring

11:45 PM – 01:00 PM Lunch (served in DF Hub)

Session 2 (Life Science)

01:00 PM – 01:45 PM Invited Talk 2: "Practical applications of language models in protein science" by Henrik Nielsen
01:45 PM – 02:00 PM MCP Talk 5: "Predicting protein interactions: improving the best" By Björn Wallner
02:00 PM – 02:15 PM MCP Talk 6: "Discovering cause-effect relationships from non-interventional data" By Hedvig Kjellström
02:15 PM – 02:30 PM MCP Talk 7: "'Boosting robustness of deep learning solutions for digital pathology" by Milda Poceviciute

02:30 PM – 03:00 PM Coffee and Mingle
03:00 PM – 03:45 PM Panel Discussion on "Future of ML in e-Science"
03:45 PM – 04:00 PM Closing

Invited Talks

Panel Discussion


with great help from Digital Futures Operations Team:


  • SeRC

  • Digital Futures

  • KTH Digitalization Platform