Machine Learning and Artificial Intelligence

See my full page here: https://www.cl.cam.ac.uk/~jm2311/

I am a PhD student in the computer Laboratory, focusing on topics at the interface of stochastic control and inference.

Hi there! I'm doing a PhD in Data-Efficient Machine Learning at the University of Cambridge, where I focus on making Neural Networks the go-to method for tabular datasets. I made contributions in the areas of small sample-size learning, high-dimensional data, feature selection, parameter-efficient neural networks, machine learning interpretability and prototypical learning. My research has been published in leading ML conferences such as AAAI, NeurIPS-W, ICML-W and ICLR-W. 

I am a 1st year PhD student of computer science in the Department of Computer Science and Technology at the University of Cambridge. My interests lie in explainable artificial intelligence and combining machine learning with reasoning.

Working on: explainable deep learning and computational biology.

Research projects

Deep logic is a framework providing a set of utilities to build deep learning models providing first-order logic explanations.

I am a first year PhD student in the Systems Research Group (SRG) at the Department of Computer Science and Technology (also known as “The Computer Lab”), working under the supervision of Professor Richard Mortier. I am a member of Clare College.

In 2018, I was awarded the Said Foundation Cambridge Scholarship , to study the MPhil in Advanced Computer Science (ACS) at the Computer Lab. Before moving to Cambridge, I co-founded several projects for empowering engineering students in Syria, including the award-winning education enterprise: Wikilogia.