Tslil worked for his Honours and Masters on both category theory and Information Geometry.

St John is interested in areas related to general intelligence and emerging technologies. His honours work focused on model-based and causal reinforcement learning. His masters research is directed towards multi-agent reinforcement learning from the perspective of causally reasoning agents.

Siphelele did an investigation into the balance between exploration and exploitation for his third year project. His honours research was on scaling and the structure of neural networks, which was an investigation into possible connections between deep learning and the...

I am a computational biologist and postdoctoral fellow at the Dana-Farber Cancer Institute, specializing in the application of machine learning techniques and genomic technologies for multidisciplinary research. My current research focus is on developing predictive models for treatment outcomes and...

Ruan learnt about reinforcement learning during his honours year. He was introduced to multi-agent RL during his research for a project and was instantly captivated by the subfield. He is interested in studying multi-agent RL and its wide range of...

Rowan is currently studying the intersection of Active Inference agents and Reinforcement Learning

Roland is doing his masters at the university of cape town at the department of mathematics and applied mathematics. For his masters he is looking at addressing the problem of algorithm performance evaluation in the field of cooperative multi-agent reinforcement...

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I am an Applied Mathematics Honours student at UCT with a strong background in Computer Science. My current project aims to analyse and extend the Quantum Approximate Optimisation Algorithm to other use cases. My primary focus is on Quantum Computing,...

Rachel is doing her masters in machine learning with a focus on using neural networks to investigate brain aging in HIV-positive individuals. She did her honours in physics with her thesis investigating thermalisation in a gluon plasma.

I am currently in my last year of my BSc in Applied Mathematics and Quantitative Biology. My interests lie in Mathematical Biology with a particular focus on modelling biological systems. I am currently learning and researching how to predict chronological...

I am currently studying Pure Mathematics Honours at UCT. I am interested in Reinforcement Learning and Category Theory. If I'm not working on campus, I'm most likely at the skate park!

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Lizelle is interested in computational psychiatry and the ways machine learning and Bayesian inference might help us understand and treat mental illness better. Her masters is on the use of reinforcement learning to model decision-making in mental illness. She also...

Honours in Pure Maths Student, interested in Cybersecurity and software development. Outside of academics you can find me in the kitchen!

Joseph completed his honours in mathematical statistics at the University of Cape Town in 2021, where he studied Reinforcement Learning and its intersection with Transfer Learning. In addition, Joseph’s honours thesis focussed on liveness detection in face biometric authentication.

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Connect LinkedIn Jeremy Wilkinson Jeremy did his Honours in Physics at the University of Cape Town and came first in his class. He then went on to do his Masters in Physics at the University of Cambridge. On the Application...

Jeremy’s research interests lie in the area of machine learning in general, and reinforcement learning (RL) in particular, especially as a framework for better understanding human reasoning and behaviour.

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Emma's research focuses on fast radio bursts (FRBs) -- astrophysical transients -- and using various analysis techniques to explore the origin of the bursts, as well as the Universe around them. In her recent work, she applied kernel density estimation...

My general interests are in reinforcement learning and natural language processing. Specifically, my interests lie in the application of artificial intelligence in game domains. My honours project focused on the application of policy-gradient reinforcement learning methods in text-based environments.

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Dean aims to investigate how anatomical homologues of mammalian Social Behaviour Network found in the zebrafish (Danio rerio) brain may regulate social interactions. To do so, he will measure GCaMP fluorescence as a marker of neural activity in zebrafish brains...

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Daniel's research has focused on explainable AI (XAI) methods using saliency mapping, with practical applications in Brain Age Regression. His MSc dissertation was an expansion of his honours project, creating saliency maps for brain age predictions. He has also spent...

Claude studied deep reinforcement learning and graph neural networks in his honours year and is now working on multi-agent RL.

Cher is currently doing her Honours in pure maths at UCT and writing her thesis on causal inference in machine learning.

I’m currently doing my honours in Applied Mathematics and I’m writing my thesis on multi-agent reinforcement learning.

Bram wishes he could understand complex systems such as artificial and biological neural networks. This lead to a project that reviewed interpretable reinforcement learning methods during his Honour's year, and now to Master's that uses ideas from the renormalisation group...

Aaron did his undergraduate in pure maths and physics and is currently pursuing his honours in pure mathematics. His project focuses on the area of active inference. When not studying mathematics he can be found going over literature about South...