Professor Julia Gog is a mathematician who specialises in modelling the spread of infectious diseases, particularly pandemic influenza. For months, she and the other members of her research group in the Department of Applied Mathematics and Theoretical Physics have been modelling and mapping the spread of coronavirus and COVID-19.
April 8, 2020 • ~6 min
mathematics women-in-stem mathematical-model epidemiology covid-19 coronavirus
Dr Maria Russo is a Research Associate in the Department of Chemistry, where she studies the physical and chemical processes at work in the atmosphere. Here, she tells us about the links between climate and air pollution, the excitement of 'blue-skies' research, and achieving work/life balance while raising a family.
March 12, 2020 • ~3 min
women-in-stem sustainable-earth climate-change climate atmosphere
Krittika D'Silva is a PhD candidate in the Department of Computer Science and Technology, a Gates Cambridge Scholar and a member of Jesus College. Alongside her academic research in AI and machine learning, she has worked for NASA on monitoring astronaut health with AI and wearable devices, and for the UN in using data science to inform public policy. Here, she tells us about her motivation, goals, and how she ended up playing a tennis match against HRH Prince Edward.
March 5, 2020 • ~4 min
machine-learning women-in-stem artificial-intelligence computer-science
Oluwaseun Ogundele is a research assistant in the Hendrich Lab at the Wellcome-MRC Cambridge Stem Cell Institute. Here, she tells us about her work studying the body’s master cells and their role in disease, meeting Nobel Prize winners, and how she’s using social media to increase the visibility of women of colour working in STEM fields.
Feb. 27, 2020 • ~3 min
Dr Karen Pinilla is a clinical research fellow at the Cancer Research UK Cambridge Centre. She worked as a clinician in the breast unit at Addenbrooke’s Hospital before starting her fellowship in October 2019. She is now based in both Addenbrooke’s Hospital and the Cancer Research UK Cambridge Institute.
Feb. 20, 2020 • ~5 min
women-in-stem cancer breast-cancer
Dr Natasha Morrison is a Research Fellow in mathematics at Sidney Sussex College and a member of the Department of Pure Mathematics and Mathematical Statistics. She completed her PhD at Oxford and her undergraduate studies at Durham. Her research focuses on a branch of mathematics which models the behaviours of networks, from how diseases spread to how viral stories circulate on social media.
Feb. 13, 2020 • ~3 min
mathematics women-in-stem mathematical-model maths
Dr Fran Day is a theoretical physicist, a research fellow at Peterhouse, and a science comedian. Here, she tells us about her lifelong love of physics, her work on dark matter and particles called axions, and the high that comes with making a roomful of people laugh.
Feb. 6, 2020 • ~7 min
physics women-in-stem astronomy dark-matter
Shagita Gounden is a systems engineer working on the world’s largest radio telescope, an Executive MBA candidate at Cambridge Judge Business School, and a member of St Edmund’s College. Here, she tells us about being part of a massive global science project, the benefits of working with an international team, and how it makes her hopeful as a South African.
Jan. 30, 2020 • ~3 min
engineering women-in-stem space astronomy
Professor Laura Itzhaki is a group leader in the Department of Pharmacology and a Fellow of Newnham College. Here, she tells us about forming her own spin-out company, pitching to investors and her research on the 'workhorses' of the cell.
Jan. 23, 2020 • ~2 min
women-in-stem innovation protein spin-out business commercialisation
Agnieszka Słowik is a PhD candidate in the Department of Computer Science and Technology, where she is a member of the artificial intelligence research group. Here, she tells us about neural networks and how they communicate with each other, the importance of supportive supervisors, and how to be a supportive team member.
Jan. 16, 2020 • ~4 min
women-in-stem computing artificial-intelligence deep-learning