Be prepared As prerequisites for the course, we recommend becoming familiar with the following: Browse the SciLifeLab Data-Driven Life Science (DDLS) initiative to understand national priorities and the concept of the data life cycle, which is central in this course.

Start date: Week 36 (2nd September 2025) Lecturer: Estibaliz Gómez de Mariscal (Postdoc at Instituto Gulbenkian de Ciência, Portugal; Tuesday 2nd September 13:00-15:00 CEST) Estibaliz Gómez de Mariscal completed her PhD in Mathematical Engineering in 2021 and is currently an EMBO Postdoctoral Fellow in the Optical Cell Biology Group at Instituto Gulbenkian de Ciência in Portugal.

Important Dates: Application closes: Aug 25, 2025, 24:00 CEST First lecture: Aug 26, 2025, 13:00 CEST Final Project: TBD Final Project consultation: TBD Final Project Report submission deadline: TBD Oral Presentation (batch 1): TBD Oral Presentation (batch 2): TBD Lectures, computer labs and seminars will be held online via Zoom.

The Final Project is a capstone experience where students apply their accumulated knowledge and AI agent tools to address real research challenges. PhD students work individually, while Master’s students work in pairs, culminating in final presentations.

Start date: Week 38 (16th September 2025) Lecturer: TBD Module 4 covers genomics and single-cell analysis featuring scRNA-seq processing pipelines, pathway analysis, and genomic workflows. Students integrate comprehensive genomics analysis capabilities into their AI agents.

Start date: Week 35 (26th August 2025) Lecturer: Wei Ouyang (DDLS Fellow; Tuesday 26th August 13:00-15:00 CEST) Module 1 serves as the foundational introduction to the Data-Driven Life Sciences (DDLS) course.

Start date: Week 40 (30th September 2025) Lecturer: TBD Module 6 covers microbial and public health applications including metagenomics workflows, epidemic modeling, and microbiome analysis. It completes the AI agent toolkit with comprehensive microbial analysis capabilities.

Start date: Week 37 (9th September 2025) Lecturer: TBD Module 3 emphasizes structural biology covering protein structure prediction, analysis, and design. Students gain hands-on experience with AlphaFold workflows and molecular modeling integrated into their AI agents.

Start date: Week 39 (23rd September 2025) Lecturers: Avlant Nilsson, Golnaz Taheri Module 5 focuses on clinical applications with multi-omics integration methods, biomarker discovery, and clinical data analysis. It emphasizes AI applications in personalized medicine and systems biology modeling.

Important Dates: Application open: June 5th, 2024 Application closes: Aug 19, 2024 First lecture: Aug 27, 2024, 08:00 CEST Hackathon: Oct 9-11, 2024 Final Project: Oct 7-27, 2024 Final Project consultation: Oct 17, 08:00-11:00 CEST Final Project Report submission deadline: Sunday, Oct 27, 2024, 23:59 CEST Oral Presentation (batch 1): Tuesday, Oct 29, 2024, 8:00-10:00 CEST (only for Master’s students) Oral Presentation (batch 2): Wednesday, Oct 30, 2024, 8:00-10:00 CEST (only for Master’s students) Lectures, Computer Labs, and Journal Clubs will be held online via Zoom.

.profile-photo { width: 150px; /* Adjust the width as needed */ height: auto; /* This keeps the aspect ratio of the image */ display: block; margin-left: auto; margin-right: auto; } Start date: Week 40 (1st October 2024)

Start date: Week 41 (7th October 2024) Final Project The final project allows students to showcase their learning by proposing their own dataset and project idea. This open-ended assignment encourages participants to explore topics of interest within data-driven life science and apply the skills gained throughout the course individually or in a pair (both members should be at the same level, e.

.profile-photo { width: 150px; /* Adjust the width as needed */ height: auto; /* This keeps the aspect ratio of the image */ display: block; margin-left: auto; margin-right: auto; } Start date: Week 37 (10th September 2024)

.profile-photo { width: 150px; /* Adjust the width as needed */ height: auto; /* This keeps the aspect ratio of the image */ display: block; margin-left: auto; margin-right: auto; } NOTE: Module 1 is a prerequisite for any subsequent Module if you like to obtain a certification for participation.

Hackathon Join us at the DDLS Hackathon, a vibrant code festival for the SciLifeLab/DDLS community! This hackathon is part of the 2024 DDLS course and participants will collaborate on their projects in the dynamic field of data-driven life science, supported by teaching assistants in a hands-on environment.

.profile-photo { width: 150px; /* Adjust the width as needed */ height: auto; /* This keeps the aspect ratio of the image */ display: block; margin-left: auto; margin-right: auto; } Start date: Week 36 (3rd September 2024)

.profile-photo { width: 150px; /* Adjust the width as needed */ height: auto; /* This keeps the aspect ratio of the image */ display: block; margin-left: auto; margin-right: auto; } Start date: Week 39 (24th September 2024)

.profile-photo { width: 150px; /* Adjust the width as needed */ height: auto; /* This keeps the aspect ratio of the image */ display: block; margin-left: auto; margin-right: auto; } Start date: Week 38 (17th September 2024)

Lecture by Wen Zhong (DDLS Fellow) and Estibaliz Gómez de Mariscal (PhD)

Lecture by Juliette Griffié (DDLS Fellow) on 12th Sept, at 08:00-10:00.

We will introduce the basics of generative AI and its potential in life science. We will also cover recent trend of using generative large-language models and practical skills on how to use ChatGPT for reading, writing, planning and code generation. Lecture by Wei Ouyang (DDLS Fellow) on 5th Sept.

Lecture by Darko Mitrovic (PhD) on 3rd Oct.

We will join the Computational Methods in Evolution and Biodiversity workshop in Stockholm University, participate in lectures by Serge Belongie, Katie E. Lotterhos, Tobias Andermann (DDLS Fellow) et al. on 21st Sept. The computer lab will happen on the same day in the afternoon.

We will introduce the concept of data-driven life sciences and the data life cycle, the course and the different modules, and some basics about using ChatGPT. Lecture by Wei Ouyang on 29th August.

Be prepared As prerequisites for the course, we recommend that you have a look at the following resources: Please have a look at the SciLifeLab Data-Driven Life Science (DDLS) initiative website to understand what data-driven life sciences are, and how Sweden is investing in this area.

Important dates Course start: 29 August 2023 Course registration deadline: 4 September 2023 Course end: 6 October 2023 Exam: 11 October 2023 & 25 October 2023 NOTE: The schedule is subject to change, please keep an eye on the email announcement and the updated schedule HERE (which may differ from the schedule at KTH course web).

Be prepared As prerequisites for the course, we recommend that you have a look at the following resources: Please have a look at the SciLifeLab Data-Driven Life Science (DDLS) initiative website to understand what data-driven life sciences are, and how Sweden is investing in this area.

Final project plan and report for the DDLS course.