A presentation of the COMPUTE research school at Lund University, which is open to PhD students and researchers who are interested in computational research tools and approaches.

1. .

2. Astronomy
Mathematics
Bioinformatics
Geology
Physics
Geography
Biology
Climate science
Synchrotron radiation
Ecology
Chemistry
Computer science
Engineering
Biotechnology Nano science
Clinical science
Biomedicine
Epidemiology
Health sciences

3. Membership: for PhD students and other
researchers
194
41
30
8
PhD students
Faculty of Science
LTH
Faculty of Medicine
Other faculties and organizations

4. Membership: for PhD students and other
researchers
194
41
30
8
Researchers
Faculty of Science
LTH
Faculty of Medicine
Other faculties and organizations

5. COMPUTE
• PhD courses
• Winter meeting
• Summer retreat
• Seminars
• Workshops
• Peer-learning
• Self-studies
• Career development
• Networking
Study directors Chairpersons
Steering group
Philipp Birken
Emil Andersson (PhD student)
Caterina Doglioni
Linnea Lindh (PhD student suppleant)
Nikolay Oskolkov
Oxana Smirnova
Elin Anna Topp
Magnus Ullner
Joachim Hein Melvyn Davies
Sonja Aits

6. www.compute.lu.se
compute@listserver.lu.se

7. Examples of upcoming courses
• Scientific Computing with Python and Fortran (2022, 2023)
• Introduction to Python (2022, 2023)
• Reproducible and Interactive Data Analysis and Modelling using Jupyter
Notebooks (2022, 2023)
• Partial differential equations in DUNE (2022)
• Deep Learning (2022)
• Image analysis (2022)
• AI in Medicine and Life Sciences – Introduction (2022)
• AI in Medicine and Life Sciences – AI for text and language data (2022)
• AI in Medicine and Life Sciences – AI for image and video data (2023)

8. Upcoming events
Dec 8 “AI for climate and environmental research”
March COMPUTE winter meeting
August COMPUTE summer retreat
Suggestions welcome!
www.compute.lu.se/calendar

9. Workshop “AI for climate and environmental
research” Dec 8, 9:00-12:00
https://www.compute.lu.se/calendar/
Sonja Aits (Lund University): Why the Pufendorf Theme “The Air We Breathe – 2.0”,
COMPUTE and AI Lund have teamed up: Opportunities at the interface of AI and
climate/environmental science
Marcus Voss (Climate Change AI and Birds on Mars): Tackling Climate Change with Machine
Learning
Dominik Brunner (Empa, Switzerland): Downscaling satellite NO2 observations using
XGBoost and neural networks
Leena Järvi (University of Helsinki): Large eddy simulation modelling of air quality
supporting urban planning through AI
Olof Mogren (RISE)
Vaughan Phillips (Lund University): Temporal Convolutional Networks for Emulating
Clouds in a Climate Model
Open discussion about goals and challenges in climate and environmental data analysis –
How can AI contribute?

10. Peer-learning and self-study material
• Python for Beginners peer learning group (join anytime)
https://github.com/COMPUTE-LU/PLGroup_PythonforBeginners
• AI for images and video data Microsoft Teams channel
email to COMPUTE to be connected
• Self-study material from previous courses and events
https://github.com/COMPUTE-LU/AI4MedLife_imaging_2021
https://github.com/COMPUTE-LU/jupyter-course
• COMPUTE PhD school youtube playlist
https://www.youtube.com/c/AitsLab/playlists

11. Be part of COMPUTE!
• Request courses
• Suggest courses/workshops you can hold
• Integrate existing computational courses into COMPUTE
• Attend COMPUTE mingles (next one in February)
• Suggest seminar speakers
• Suggest hackathons, mingle topics, peer learning groups or any other
activity
• Collaborations
Sign up for COMPUTE!
www.compute.lu.se
PhD students
Postdocs
Senior researchers