See what students built during the Data-Driven Life Sciences course — AI-assisted tools, web apps, and research workflows at the intersection of biology and machine learning.
"The DDLS course broadened my general knowledge in data-driven life sciences. In computer labs and literature seminars, we were immersed in different fields of life sciences each week. Throughout the course, we were learning how to use AI tools effectively. I was surprised by how quickly I could build my first web app!"
"The course provided a solid introduction to applying agentic AI in both research and coding. I appreciated being introduced to a range of different problem types and tasks within data-driven life sciences. The final project was especially useful as a chance to put the AI-supported coding workflows into practice."
"This course was a great introduction to the world of data-driven life science research. It contained interesting lectures as well as hands-on experience working with Google Colab and Gemini CLI as an AI agent. I also appreciated the discussions during journal clubs."
The DDLS course is open to all KTH Master’s and PhD students, as well as SciLifeLab researchers and external participants interested in data-driven approaches to life sciences.