Hi, I'm Jessica

I'm a Ph.D. researcher at UCL.

Welcome to my website.

Currently based at Mullard Space Science Laboratory, UCL, I specialise in machine learning for high-dimensional data analysis in astrophysics. I develop deep learning architectures with uncertainty quantification methods for ill-posed inverse problems. My work spans generative modelling, Bayesian inference, and scalable ML pipelines.

I graduated with an MPHil in theoretical physics from the University of Liverpool. My dissertation focused on general relativity and advanced mathematical modelling. It's an absolute joy to do this kind of mathematical work. It strengthened my skills in complex problem solving, analytical thinking, and computational physics — foundations I now apply in my Ph.D. research.

Outside research, I am an avid enjoyer of playing classical music, reading, and staying active.

Get in Touch

My research interests

I specialise in machine learning methods for weak gravitational lensing mass-mapping. I develop and adapt deep learning architectures to be suitable for astrophysical data. My recent work focuses on generative modelling for planar mass-mapping with uncertainty quantification using regularised conditional GANs. I am currently working on spherical mass-mapping techniques, ahead of stage IV survey data.


Where will you catch me next?

Nothing currently in the calendar, you'll catch me hard at work on my research. I'm open to industry collaborations and internship opportunities — feel free to get in touch.