Name: The Disruptive Role of Data and AI in the Life Sciences
Start: 2024-09-24T12:00:00+02:00
End: 2024-09-25T12:00:00+02:00
Location: Conference Centre Wallenberg

A Joint Conference between DDLS, WASP and WASP-HS

September 24, 2024 @ 12:00 – September 25, 2024 @ 12:00 CEST

The conference will focus on different aspects of research where collaboration over scientific domains is essential and will explore the following topics:

How data- and AI-driven research is shaping the future of life science
Development of new approaches to human-in-the-loop technologies and their use
The need for studies at the intersection of society, AI, and data driven life sciences

Participants will have the opportunity to network, be inspired by excellent international keynotes, and take part of the latest research in Sweden. In addition to plenary keynotes, the program will offer parallel sessions, panel discussions, mingle and poster sessions.

Practical Details

Dates and times

September 24, 12:00 – September 25, 12:30
Registration is open from 11:00 on September 24.

Venue: Wallenberg Conference Center, Medicinaregatan 20 A, Gothenburg

Poster specifications

Dimensions: 90×120 cm

Registration to the Conference

The registration is open until September 6.

Program

24 September

11:00 Registration opens
Posters are to be hung up from 11:00 and should be done by 12:00.

12:00 – 13:00 Lunch

Start of conference

13:00 – 13:15 Opening Program Directors
Christofer Edling, WASP-HS
Olli Kallioniemi, DDLS
Anders Ynnerman, WASP
Chair, Danica Kragic

13:15-14:00 Keynote speaker Sunduz Keles
Integrative Approaches to Single-Cell Genomics for Personalized Medicine
Chair, Rebecka Jörnsten

14:05- 14:50 Keynote speaker Ross King
The Automation of Science
Chair, Rebecka Jörnsten

14:50-15:20 Coffee

15:20-16:20 Project presentation WASP DDLS (4 *15 min)
Christopher Sprague, Incorporating Stability Into Flow Matching
Björn Wallner, Improved protein structure prediction by adding noise at inference
Hedvig Kjällström TBD
Alexander Schliep and Pär Mattsson Molecular simulation and machine learning to delineate target binding of therapeutic oligonucleotides
Chair, Päivi Östling

16:20-17:05 Project presentation WASP-HS DDLS (3* 15 min)
Harald Hammarström, Linguistic Diversity Through the Prism of Biodiversity
Stanley Greenstein, AI in the Health Care Sector – Legal Challenges
Sonja Aits, Mapping the Nexus of Biodiversity, Climate Change, Human Society and Health using Large Language Models and other Data Science Approaches
Chair, Stefan Larsson

17:15: – 19:00 Finger food and poster session

25 September

08:30-9:30 Project presentation WASP DDLS (4*15 min)
Ingrid Hotz, Tino Ebbers, TBD
Sebastian Westenhoff, Gabriel Ducrocq, TBD
Andreas Kerren, Visual Analytics for Enhancing Quality and Trust in Genome-wide Expression Clustering and Annotation
Minh Hoang Vu, Anonymization of Data in Precision Medicine Research
Chair, Erik Kristiansson

09:30-10:45 Magnet mingle including coffee
Chair, Erik Kristiansson and Francis Lee

10:45-11:30 Keynote Speaker: Klaus Høyer
All the data from everywhere all at once: data integration, AI imaginaries, and their unpredictable outcomes
Chair, Francis Lee

11:30-12:15 Panel on common research challenges
Sunduz Keles, Ross King, Klaus Hoyer, Andreas Kerren, Tino Ebbers
Moderators, Rebecka Jörnsten and Stefan Larsson

12:15 Closing remarks, Program Directors
Christofer Edling, WASP-HS
Olli Kallioniemi, DDLS
Rebecka Jörnsten WASP

12:30 Lunch to go

Keynote Speakers

Sunduz Keles

Title: Integrative Approaches to Single-Cell Genomics for Personalized Medicine

Bio: Dr. Keles obtained her Ph.D. in Biostatistics from the University of California at Berkeley. After a year-long postdoctoral appointment at UC Berkeley, she joined the Department of Biostatistics and Medical Informatics and the Department of Statistics at the University of Wisconsin, Madison. She has twenty years of experience in developing statistical and computational methods for genomics, including serving as an ENCODE PI, and pioneering foundational statistical models for leveraging multi-mapping reads in high throughput sequencing data analysis (ChIP-seq, Hi-C).

Her research interests span developing statistical and computational methods for denoising and signal extraction from sequencing data and modeling of high dimensional data. Her computational approaches led to fundamental contributions on how GATA factors mediate transcriptional regulation in HSPCs and erythroid cells. Dr. Keles is an elected fellow of the American Statistical Association.

Klaus Lindgaard Høyer

Title: All the data from everywhere all at once: data integration, AI imaginaries, and their unpredictable outcomes

Bio: Klaus Hoeyer is professor of Medical Science and Technology Studies at the Centre for Medical Science and Technology Studies, University of Copenhagen. His research focuses on the links between policy, practice and experience in relations to medical research and clinical practice. In recent years, he has focused mainly on what he calls intensified data sourcing in healthcare and how it interacts with and changes the health services. This research is primarily financed by the European Research Council.

Ross D. King

Title: The automation of science

Bio: Ross D. King did his PhD on applying machine learning to predicting protein structure at the Turing Institute in Glasgow. He has joint positions at Chalmers Institute of Technology, and the University of Cambridge. He is one of the most experienced machine learning researchers in Europe.

His main research interest is the interface between computer science and science. He originated the idea of a ‘Robot Scientist’: integrating AI and laboratory robotics to physically implement closed-loop scientific discovery. His Robot Scientist ‘Adam’ was the first machine to autonomously discover scientific knowledge. His Robot Scientist ‘Eve’ is currently searching for drugs against neglected tropical diseases, and COVID. His other core research interest is DNA computing.

Background

Since 2021 the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) are collaborating through joint research projects with the ultimate goal of solving ground-breaking research questions across disciplines. In line with this, the programs will now host the first, joint annual conference where common research topics are highlighted. Additionally, the increasingly important humanity and societal aspects of the research will be addressed through participation of the WASP-HS program (Wallenberg AI, Autonomous Systems and Software Program- Humanity and Society). Read more about the different research programs here:

DDLS

WASP

WASP-HS