Machine Learning and Artificial Intelligence in Biology

About

Modern methods in the life sciences, such as high-resolution microscopy and high-throughput sequencing, generate enormous amounts of data. To discover information in these data and to ask the right questions, new methods from data mining, artificial intelligence and deep learning need to be developed and applied, complemented by theoretical models in an integrated systems approach.

In this summer school, you will learn how to apply cutting edge techniques from artifical intelligence and deep learning for the analysis of biological data (e.g. images, genomes), how to integrate the results with other biological "big" data from genomes to ecosystems, and how to combine data science and quantitative modeling. Local researchers with expertise in bioimage analysis, modeling and machine learning will teach courses together with invited speakers.

Information and application: https://go.uniwue.de/aibio2019

Course leader

Prof. Dr. Philip Kollmannsberger

Target group

This summer school is targeted towards students at the BSc. and MSc. level with a biological or biomedical background. Previous experience with programming and machine learning is helpful, but not necessary.

Course aim

After this five-day intensive course, you will have gained basic skills in machine learning and AI and will be able to apply them to typical data analysis problems in biology and life sciences.

Fee info