DERI Seminar, Deep learning in population genomics

When: Thursday, November 3, 2022, 11:01 AM - 12:00 PM
Where: zoom

Speaker: Dr Matteo Fumagalli

Title: Deep learning in population genomics
Zoom link: https://qmul-ac-uk.zoom.us/j/81148100921

Abstract: Population genomics is transitioning into a data-driven discipline thanks to the availability of large-scale genomic data and the need to study increasingly complex evolutionary scenarios. With likelihood and Bayesian approaches becoming either intractable or computationally unfeasible, machine learning, and in particular deep learning, algorithms are emerging as popular techniques for population genetic inferences. I will introduce the field of population genomics and its impact in biomedical sciences. I will then showcase some applications of deep learning to infer evolutionary processes and discuss ongoing challenges. I will finally discuss some recent work on integrating ancient genomes in deep neural networks. I hope to motivate data scientists to consider population genomics as an opportunity to develop further architectures suitable for the specifics of large-scale genomic data sets.

Bio: Matteo is a Senior Lecturer in Genetics at SBBS. He holds a PhD in Bioengineering and completed his postdoctoral training at Berkeley and UCL before obtaining his first faculty position at Imperial College London. He moved to QMUL in 2022. His lab develops computational methods in evolutionary genomics. Lab website: https://mfumagalli.github.io/