Dr Priscilla Canizares
Priscilla Canizares is a Daphne Jackson Fellow at The Alan Turing Institute and in the Cambridge Image Analysis group in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge.
Priscilla has a BSc in Physics from the Autonomous University of Barcelona, Spain and went on to do two MSc’s, the first at the University of Camerino, Italy and the second at the Autonomous University of Barcelona, where she also completed her PhD.
Priscilla has had a very successful research career moving between a number of Fellowships and institutions. Pricilla secured a one year Fellowship from the Catalan Ministry and a further two year Marie Curie Research Fellowship which she held in the Department of Astronomy at the University of Cambridge to develop mathematical models and data analysis techniques for gravitational wave astronomy. She followed this with a Wellcome Fellowship at Cambridge held between the Department of Applied Maths and Theoretical Physics and the Department of Zoology. Priscilla then moved to Radboud University in the Netherlands developing machine learning algorithms to model gravitational wave signals. With a very strong publication record, Pricilla presented internationally and developed computer models and data analysis techniques and contributed to the development and deployment of the LISA Pathfinder Data Management Unit. More recently she has worked in industry for Schlumberger Research, Cambridge working on probabilistic analysis of existing mathematical and physical models.
Now returning to research after a break of 5 years Priscilla has identified new skills she needs to move into a health related domain where she aims to develop a novel virtual biopsy advisor based on super-resolution techniques and data fusion. Her research project is entitled: Robust Virtual Biopsy Advisor with Super-Resolved Biomarker Maps
Due to finish in 2025, her Fellowship is sponsored The Alan Turing Institute.