Join us for a series of Data Science Tech Talks exploring state-of-the-art techniques and their practical applications. Covering a wide range topics such as machine learning, reinforcement learning, computer vision, data visualisation and more.
This free evening talk will explore working with publically available genome data.
What will be covered:
- How is genetic data structured and analysed?
- Where do we find genetic data in the public domain?
- What can we learn from genetic data?
- The future: Computational approaches to reconcile utility of data sharing with danger of de-identification.
For a taste of what will be covered, check out:
Speaker: Patrick Short
Patrick is a PhD Student in Mathematical Genomics and Medicine at the University of Cambridge and the Wellcome Trust Sanger Institute studying the role of genetic mutations in severe neurodevelopmental disorders. Before his PhD, Patrick studied Applied Mathematics and Quantitative Biology at the University of North Carolina, Chapel Hill.
If you are interested in progressing further with Machine Learning, learn more at the Data Science Bootcamp in Python.