Ep.44 Annalisa Occhipinti – Data Science and Cancer Research

This week, Karen is joined by Annalisa Occhipinti, Lecturer in Data Analytics at Teesside University. Working at the interesting intersection of Computer Science and Biology, she develops critical machine learning and deep learning methodologies for cancer research. In this episode, Annalisa gives insight into how data science is supporting cancer research.  These life-saving models enable early detection as well as providing clinicians with the information they need to prescribe adequate treatment based on an individual's genomic profile. She talks about the data that she analyses, dealing with missing values and how the models are built. Working closely with businesses, she then goes on to discuss the differences between academic research and industry.   Enjoy!  *****************************   Show notes:   *****************************  Annalisa’s research is funded by: https://earlier.org/  Annalisa’s reading recommendation:  Google Scholar -  https://scholar.google.com/  Newsletters: The batch - https://read.deeplearning.ai/the-batch/  Data Elixir - https://dataelixir.com/ Deep Learning Weekly - https://www.deeplearningweekly.com/ 

Om Podcasten

Welcome to the Women in Data Podcast, where every other week your host, Karen Jean-Francois interviews some of the most inspiring women working in data. Through each episode, they share their invaluable experience and knowledge. Leaving no stone unturned, the WiD Podcast series will provide you with information on the use of data in various industries, plus helpful tips for career development. More importantly, it will enable you to become the data professional you want to be.