MSc Machine Learning
University College London · Distinction
Thesis: Hierarchical Bayesian Program Synthesis for Neural Algorithmic Reasoning · Supervisor: Prof. Mirco Musolesi
Hey, I’m Botond
Cambridge, United Kingdom
I research and develop Machine Learning algorithms. I’m especially interested in Bayesian methods for causal inference and structured deep learning to make models more robust at algorithmic generalisation and reasoning, while also improving their interpretability.
Program synthesis
Representation learning
Algorithmic reasoning
Causal discovery
Reinforcement learning
Education
BSc Physics with Theoretical Physics
Imperial College London · Honours
Thesis: Computational Evolution · Supervisor: Dr. David Clements
About
After completing my Machine Learning MSc at UCL, I am continuing our research on Neural Program Synthesis with Prof. Mirco Musolesi in the Machine Intelligence Lab. I have an undergraduate degree in Theoretical Physics from Imperial College, where I completed my final year project with Dave Clements in the Astrophysics Group. I also spent a summer as a research intern under the supervision of Mark van der Wilk working on Causal Discovery and GPLVMs. I grew up in Budapest, Hungary.
Experience
ML Research Engineer (Contract)
Sherpa · London
- Designed and delivered proof-of-concept for LLM integration into a survey analysis product.
- Built a custom chain-of-thought pipeline that translates natural language queries into JSON requests.
- Ran comparative experiments to inform feasibility studies and strategic model recommendations.
Postgraduate Researcher
Machine Intelligence Lab · University College London
Research into neural program synthesis and algorithmic reasoning with Prof. Mirco Musolesi, developing a wake-sleep library learning framework with Transformers.
Research Intern
Imperial College London
Investigated causal discovery via cross-validation compared with Bayesian model selection (GPLVM) under Mark van der Wilk. Funded through Imperial UROP with extensive HPC exposure.
Projects
2024
Msc Thesis
Hierarchical Bayesian Program Synthesis for Neural Algorithmic Reasoning (MSc Thesis, Distinction) During my Machine Learning MSc at UCL,...
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Masked Image Modelling
Self-supervised Vision Transformer pre-training for downstream segmentation.
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ML@UCL
Projects and assignments undertaken during my master’s: COMP0086 Probabilistic and Unsupervised Learning (Gatsby Unit) Baye...
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Bivariate Causal Discovery with GPLVMs
Imperial UROP research on causal discovery using cross-validation and Bayesian model selection.
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Bsc Thesis
Evolution of Artificial Life: Investigating Optimisation in Gene Space (BSc Thesis, Distinction) I carried out my BSc thesis under the su...
Read more →2022
Machine Learning for LHCb
As part of Physics Coursework at Imperial College London, I led the machine learning team analysing decay product distributions from the ...
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Quantum Computation: Hopes and Struggles
Imperial College article exploring the promise and challenges of quantum computing — Quantum Article Prize winner.
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Project Svarog: Solar Sail Mission at ICSS
Part of the orbital mechanics team at the Imperial College Space Society, I contributed to Project Svarog — a CubeSat with a solar sail s...
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