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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
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Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Football forecasts using Monte Carlo simulations
This project allows you to forecast the rest of a league season using Monte Carlo simulations in Python. Code is available on Github.
Unsupervised Learning of Spatiotemporal Interictal Discharges in Focal Epilepsy
This is my Python implementation of Maxime Baud’s algorithm for IED detection. Code is available on Github.
Unsupervised Seizure Detection using a Convolutional Autoencoder
This project trains a convolutional autoencoder for anomaly detection using publicly available interictal iEEG data. The end goal is to develop a channel-by-channel seizure detector, allowing us to analyse the onset and spread of a seizure. Code is available on Github.
Forecasting the 2022 World Cup using Monte Carlo simulations
This is a step-by-step tutorial for forecasting the 2022 World Cup. Code is available on Google Colab.
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
talks
Flash Talk at NMC4
Published:
Presented my MRes work, Clustering and Forecasting of Interictal Epileptiform Discharges Using Machine Learning, in a flash talk at Neuromatch 4.0.
Rapid-Fire Presentation at IEC 2023
Published:
Presented a digital poster and was selected for a rapid-fire presentation on Forecasting interictal epileptiform discharges in focal epilepsy with deep learning.
Presentation at the Young Epilepsy Research Retreat
Published:
Presented a talk on Localising the Seizure Onset Zone from SPES Responses Using Deep Learning.
Talk at ICNC 2024
Published:
Presented a talk on Machine learning for localising the Seizure Onset Zone from responses to Single-Pulse Electrical Stimulation. This was part of a symposium on Big Data, Artificial Intelligence and Machine Learning In The Diagnosis and Management of Epilepsy.
Talk at CAI4H 2024
Published:
Presented a talk on Localising the Seizure Onset Zone from Single-Pulse Electrical Stimulation Responses with a CNN Transformer.
teaching
Programming with Python for Health Research
Postgraduate course, UCL Institute of Health Informatics, 2022
I also acted as a PGTA for this MSc module. My role encompassed guiding students through Python programming exercises tailored for health research, providing one-on-one assistance, and participating in the marking process.
Machine Learning in Healthcare and Biomedicine
Postgraduate course, UCL Institute of Health Informatics, 2023
In addition to my doctoral research, I served as a Postgraduate Teaching Assistant (PGTA), focusing on facilitating lab exercises and class discussions in this specialised machine learning module.