Using your science to reveal how much rain fell on the dinosaurs
During the Cretaceous period (145 to 66 million years ago), the world was very different! It was hotter, with more rainfall, and dinosaurs would have roamed the lush wetlands and forests that existed in the UK. Understanding these past warm worlds can help us...
Electricity Access for All
How can we sustainably electrify parts of the world that don't currently have access to clean and reliable energy? How can we improve Sierra Leone's energy sector, so that its capital, Freetown, no longer has an average of 53 blackouts a day? These are just two of the important questions being tackled by Oxford researchers Dr Susann Stritzke...
I’m a mathematician who applies maths to cancer and medicine – I didn’t even realise that existed when I was at school! I studied Maths and Philosophy at the University of Southampton and became interested in applied maths there, but I always thought that “applying maths” to real world problems meant “doing some sort of physics”.
Understanding COVID-19 transmission, informing control
Tackling a previously unseen pathogen - like the one that causes COVID-19 - is like piecing together a puzzle. There are many different parameters to investigate before the pathogen can be fully understood, and before effective control measures can be put in place. So how do scientists go about solving the puzzle, and why is modelling so...
What did Hollywood get right and wrong in these movies?
King Kong, PI, Eternal Sunshine of a Spotless Mind and Superman III. What do these 4 films have in common? SCIENCE! They caught attention of one film fan Edwin Davies. On this episode of the Big Questions podcast we are separating the fact and fiction and asking the question: What did Hollywood get right and wrong in these movies?
I was born in Shanghai, China. The majority of my school education took place during the infamous Cultural Revolution. There was no encouragement of academic achievement. Fortunately, the Cultural Revolution ended in 1976, when I was 16, and it became normal again for teenagers to study and apply for university places.
Learn about deep learning in these lectures from Prof Nando de Freitas
Professor Nando de Freitas is a machine learning professor who has made his Oxford lectures available to the public. This lecture series draws inspiration from neuroscience and statistics, introducing the basic background on neural networks, back propagation, Boltzmann machines, autoencoders, convolutional neural networks and recurrent neural...
I am in my 8th year of study in Oxford, having started with a 4 year undergrad Masters in physics, before making a jump to the social sciences at the Oxford Internet Institute. I’m now working towards a DPhil and am interested in applying mathematical methods from physics to model and make predictions on social systems. In particular, I’m...
Ritwika (Ricky) Sengupta
Describe yourself in three words: Excitable, organized, slight-worrier.
Dr. Tingting Zhu is a Royal Academy of Engineering Research Fellow and Member of Faculty within the Department of Engineering Science, Oxford. She is an Associate Research Fellow of St. Hilda's College and a Stipendiary Lecturer at Mansfield College.