ShockLab

ShockLab

PhD Students

Current PhD Students

Ruach Slayen

Ruach is working on several projects dealing with the behavior of low-dimensional quantum systems in the presence of magnetic fields - from the quantum mechanics of Fullerenes to duality and bosonization in quantum field theory. He is also working part...

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Anthony Sayster

Anthony is researching in the field of mathematics education, particularly focusing on the use of productive struggle in high school mathematics.

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GRADUATED PHD Students

Justine Tarrant

Justine Tarrant currently works at the School of Physics, University of the Witwatersrand. Justine does research in Cosmology, Mathematical Physics and Theoretical Physics.

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Emma Platts

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...

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Masters Students

Current Masters Students

Zach Wolpe

Zach is designing a Bayesian Reinforcement Learning framework to investigate differences in neural correlates of (human) learning in dynamic decision-making tasks under uncertainty. Zach also works as a Data Scientist at Explore-AI, building bespoke Machine Learning Engineering solutions. If not...

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St John Grimbly

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.

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Siphelele Danisa

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...

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Rowan Hodson

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

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Rivan Rughubar

Rivan is working on how to implement machine learning algorithms such as support vector machines on quantum computers. He is also interested in mathematical modelling and physics education.

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Rayhaan Perin

My name is Rayhaan Perin and I’m currently doing my MsC at UCT in applied nuclear physics focussing on Time-Of-Flight(TOF) PEPT. I am currently involved in the creation of a Monte-Carlo algorithm that describes a PET detector that will incorporate...

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Rachel Catzel

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.

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Mashudu Mokhithi

My research interests are in Mathematics Education in general. For my MSc project, I looked at how mindsets (student’s beliefs about their own intelligence) affect their academic performance in first-year math courses. Going forward, I would like to do research...

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Lizelle Niit

Connect LinkedIn GitHub Website Lizelle Niit Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi volutpat justo sed efficitur cursus. Mauris fringilla quam vitae lacinia viverra. Mauris eros dolor, pellentesque sed luctus dapibus, lobortis a orci. Cras pulvinar lorem elit,...

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Dean Rance

During his honours, Dean learnt about information theory and its application to theoretical models of synaptic plasticity. During his masters, he learnt about spiking neural networks with spike-time-dependent synaptic plasticity and evolutionary algorithms. Since then he moved to Lisbon to...

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Daniel Taylor

Connect LinkedIn GitHub Website Daniel Taylor Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi volutpat justo sed efficitur cursus. Mauris fringilla quam vitae lacinia viverra. Mauris eros dolor, pellentesque sed luctus dapibus, lobortis a orci. Cras pulvinar lorem elit,...

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Claude Formanek

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

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Arinze Lawrence Folarin

Arinze Lawrence Folarin is my name. I was born in Nigeria. I studied Mathematics at the University of Ibadan in Nigeria for my undergraduate degree (First class honours). I went on to get my master's degree in Mathematical Sciences (Distinction)...

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Abram Schönfeldt

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...

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Graduated Masters Students

Vladimir Makic

Connect Vladimir Makic Vladimir’s thesis was on modelling population dynamics between rhinos and poachers in South Africa as a whole and Kruger National Park in particular. Co-supervised by Dr Henri Laurie.

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Tslil Clingman

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

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Tom Makkink

Tom is currently working on exploring Transformers as memory systems in Reinforcement Learning. He has also conducted research in medical imaging, such as diagnosing malaria in microscopic blood slides using convolutional neural networks.

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Ruach Slayen

Ruach is working on several projects dealing with the behavior of low-dimensional quantum systems in the presence of magnetic fields - from the quantum mechanics of Fullerenes to duality and bosonization in quantum field theory. He is also working part...

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Alexes Mes

Connect LinkedIn GitHub Website Alexes Mes Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi volutpat justo sed efficitur cursus. Mauris fringilla quam vitae lacinia viverra. Mauris eros dolor, pellentesque sed luctus dapibus, lobortis a orci. Cras pulvinar lorem elit,...

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Alex Antrobus

Connect LinkedIn GitHub Website Alex Antrobus Co-supervised by Prof Jeff Murugan. Publication 1 Publication 2

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Alastair Grant-Stuart

Connect LinkedIn GitHub Website Alastair Grant-Stuart Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi volutpat justo sed efficitur cursus. Mauris fringilla quam vitae lacinia viverra. Mauris eros dolor, pellentesque sed luctus dapibus, lobortis a orci. Cras pulvinar lorem elit,...

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Honours Students

cURRENT hONOURS sTUDENTS

Rahul Mistri

I am an Applied Mathematics Honours student at UCT with a strong background in Computer Science. My current project aims to...

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Graduated hONOURS sTUDENTS

Tslil Clingman

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

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St John Grimbly

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.

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Siphelele Danisa

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...

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Sabina Stefan

Connect LinkedIn GitHub Website Sabina Stefan Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi volutpat justo sed efficitur cursus. Mauris fringilla quam vitae lacinia viverra. Mauris eros dolor, pellentesque sed luctus dapibus, lobortis a orci. Cras pulvinar lorem elit,...

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Robert Spencer

Connect LinkedIn GitHub Website Robert Spencer Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi volutpat justo sed efficitur cursus. Mauris fringilla quam vitae lacinia viverra. Mauris eros dolor, pellentesque sed luctus dapibus, lobortis a orci. Cras pulvinar lorem elit,...

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Luke Taylor

Connect LinkedIn GitHub Website Luke Taylor Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi volutpat justo sed efficitur cursus. Mauris fringilla quam vitae lacinia viverra. Mauris eros dolor, pellentesque sed luctus dapibus, lobortis a orci. Cras pulvinar lorem elit,...

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Logan Guildenhuys

Connect LinkedIn GitHub Website Logan Guildenhuys Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi volutpat justo sed efficitur cursus. Mauris fringilla quam vitae lacinia viverra. Mauris eros dolor, pellentesque sed luctus dapibus, lobortis a orci. Cras pulvinar lorem elit,...

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Lizelle Niit

Connect LinkedIn GitHub Website Lizelle Niit Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi volutpat justo sed efficitur cursus. Mauris fringilla quam vitae lacinia viverra. Mauris eros dolor, pellentesque sed luctus dapibus, lobortis a orci. Cras pulvinar lorem elit,...

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Jibran Bodra

Connect LinkedIn GitHub Website Name Here Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi volutpat justo sed efficitur cursus. Mauris fringilla quam vitae lacinia viverra. Mauris eros dolor, pellentesque sed luctus dapibus, lobortis a orci. Cras pulvinar lorem elit,...

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Jeremy Wilkinson

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...

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Jeremy Du Plessis

Connect LinkedIn GitHub Website Jeremy du Plessis Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi volutpat justo sed efficitur cursus. Mauris fringilla quam vitae lacinia viverra. Mauris eros dolor, pellentesque sed luctus dapibus, lobortis a orci. Cras pulvinar lorem...

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Jason Connie

Connect LinkedIn GitHub Website Jason Connie Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi volutpat justo sed efficitur cursus. Mauris fringilla quam vitae lacinia viverra. Mauris eros dolor, pellentesque sed luctus dapibus, lobortis a orci. Cras pulvinar lorem elit,...

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Emma Platts

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...

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Dominic Bauer

Connect LinkedIn GitHub Website Dominic Bauer Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi volutpat justo sed efficitur cursus. Mauris fringilla quam vitae lacinia viverra. Mauris eros dolor, pellentesque sed luctus dapibus, lobortis a orci. Cras pulvinar lorem elit,...

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Dean Rance

During his honours, Dean learnt about information theory and its application to theoretical models of synaptic plasticity. During his masters, he learnt about spiking neural networks with spike-time-dependent synaptic plasticity and evolutionary algorithms. Since then he moved to Lisbon to...

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Darien Hillebrand

Connect LinkedIn GitHub Website Name Here Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi volutpat justo sed efficitur cursus. Mauris fringilla quam vitae lacinia viverra. Mauris eros dolor, pellentesque sed luctus dapibus, lobortis a orci. Cras pulvinar lorem elit,...

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Daniel Taylor

Connect LinkedIn GitHub Website Daniel Taylor Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi volutpat justo sed efficitur cursus. Mauris fringilla quam vitae lacinia viverra. Mauris eros dolor, pellentesque sed luctus dapibus, lobortis a orci. Cras pulvinar lorem elit,...

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Claude Formanek

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

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Abram Schönfeldt

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...

Read More