These events open conversations to inform, inspire, and connect researchers at all levels, on topics within computational biology, AI and bioinformatics. We welcome scientists from across Cambridge to join us for talks, discussion, and networking over beer and pizza.
May Theme - "Feature Selection Methods"
Richard Argelaguet (Altos Labs UK)
"MOFA2: Principles of multi-omics data integration"
I did my PhD at the European Bioinformatics Institute (Cambridge, UK), supervised by John Marioni and Oliver Stegle, where I developed methods for the analysis and integration of single-cell and multi-omics data, the most popular one being MOFA. During my PhD I worked closely with Wolf Reik's group (Babraham Institute, UK) on the characterisation of embryonic development from a multi-modal perspective (transcriptomics, epigenetics, spatial organisation, etc.). Currently, I am working as a Senior Scientist at Altos Labs, where I am using machine learning methods to characterise the gene regulatory networks that underlie cellular rejuvenation programming.
Irina Mohorianu (Cambridge Stem Cell Institute)
"Robust unsupervised learning reveals answers to unasked questions"
My background in Computer Science was streamlined after I finished my BSc in Iasi, Romania, towards Applied Data Science (Bioinformatics). During my PhD I studied small non coding RNAs (sRNAs), first in plants and then in animal systems, too. Soon after completing the first year of post-doc (working on D Melanogaster), I was awarded a BBSRC grant on which I was Researcher Co-I. While working on this project I started to integrate mRNA and sRNA expression and became interested in Gene Regulatory Networks. In parallel I also continued working on developing new methods for the UEA sRNA Workbench.
5.15pm – Doors (and bar)
5:30 – 6:30pm – Talks and panel discussion
6:30pm – Pizza
