we meet again
received some recognition
UKRI International Fee Bursary
£27.6k/Year
UKRI PhD Bursary
Mercia Award Department Nomination
Imperial College London
Cambridge Trust Scholarship
Full PhD Scholarship, School of Clinical Medicine
University of Cambridge
International Excellence Scholarship
£6,000
University College London
CSC-Bristol Scholarship
China Scholarship Council & Bristol PhD Scholarship
University of Bristol
Best Final Project Award
Best Final Project (Experimental Psychology)
University of Bristol
my academic journey
Cambridge, UK
Fully funded (DTP-MRC), School of Clinical Medicine. Research: Multimodal neuroimaging for cognitive decline/dementia.
grade: Distinction
London, UK
Research: Biomimetic NNs for signal denoising (Kozlov Lab). Modules: Neuroscience, Biomimetics, BCI.
Master of Research (MRes) - Biomedical Engineering@ Kings College London
grade: Distinction (77)
London, UK
Modules: Robotics, Adv. ML, Bionics & Neurotech, Surgical Tech.
Bachelor of Science (BSc) - Psychology@ University of Bristol
grade: Distinction (78)
Bristol, UK
Modules: Evolution, Language, Cognitive/Dev/Social Psych.
Public Health Short Course@ Pontificia Universidad Javeriana
Bogotá, Colombia
Focus: Colombian public health system structure and healthcare provision.
Biology International Foundation Course@ Newcastle University
grade: Distinction (80)
Newcastle, UK
Selected Projects
Brain Imaging
Signal Complexity of Cortical Functional Connectivity Networks Across the Lifespan
Poster presentation at OHBM 2025 in Brisbane, Australia. Investigating how brain network complexity changes throughout human development and aging.
UNet Ensemble Learning
Segmented lung tumors in MRI (Medical Segmentation Decathlon) using 3D U-Net ensemble learning. Focused on hyperparameter optimization, data augmentation, and ensembling. Achieved 93% in Adv. ML course.
Multi-Modal Phenotyping for Tuberculous Meningitis
Developed multi-modal models to phenotype brain lesions in TBM/HIV patients and predict clinical outcomes.
Surgical Path Planning with Robotic Operating System (ROS)
Used ROS for surgical path planning: compute trajectory avoiding critical structures, minimize target distance, and move robot arm.
VAE-GAN
Image example for the VAE-GAN project
Predicting gestational age at scan and birth for neonates from the developing Human Connectome Project
Predicted neonatal gestational age (scan/birth) using dHCP data with a pre-activation ResNet. Integrated confounds, used data augmentation, weighted sampling, and early stopping.
Classification of prematurity using structural connectivity using PCA
Predicted neonatal prematurity using brain connectivity matrices. Improved logistic regression sensitivity by adjusting class weights. PCA visualization showed clear term/preterm separation.
Cognitive Science
Measuring Perceptual Similarity in Neural Networks
A schematics animation made using manim, for MindSet project and the Orthographic DNN project. Click play to watch the animation
Other Adventures
LLMs for Healthcare Records (NDA)
Exploring the application of LLMs to address accessibility, mobility, and technology integration challenges in electronic healthcare record (EHR) systems.
Clustering-Based Approximation for the Travelling Salesman Problem (TSP)
Developed a hierarchical clustering approximation for TSP, significantly faster than genetic algorithms (974x better path length, 1.22x less time on large datasets).
Generative Model Art Plotter Pipeline
Pipeline using generative models for art creation and a reinforcement learning agent with a plotter for physical drawing.
Machine Learning
Hyperparameter Tuning
Developing a Pythonic hyperparameter tuning package.
HPC
3 years experience with HPC (training, finetuning).
Reinforcement Learning
Training DQN models for plotter-based drawing.
Generative Models
Built poetry generation models pre-GPT era.
MONAI
↗Fantastic toolkit for medical imaging AI.
ROS
Used for surgical path planning project.
PyTorch
↗Primary framework for deep learning.
Python
↗12,000+ hours happily invested.
Computer Vision
Medical Image Segmentation
Hyperparameter Tuning
Developing a Pythonic hyperparameter tuning package.
HPC
3 years experience with HPC (training, finetuning).
Reinforcement Learning
Training DQN models for plotter-based drawing.
Generative Models
Built poetry generation models pre-GPT era.
ROS
Used for surgical path planning project.
Computer Vision
Medical Image Segmentation
Data Science
Full Stack
Git
↗Essential for version control and collaboration.
Bash
Shell scripting for automation and tasks.
React JS
↗Building component-based dashboards.
CD/CI
Streamlining deployment with CD/CI.
SSH
↗Secure server communication.
MongoDB
↗Work Experience
Researcher@ University of Bristol
Bristol, UK
Developed and trained models via distributed cloud computation; Designed, generated, and maintained datasets & GitHub repo for testing cognitive phenomena in ANNs; Contributed to high-impact journal publications.
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Former Co-Founder & Tech Lead@ Across Medical
London, UK
Supported interns/junior staff; Developed & tested initial prototype tech; Seeking first-round funding with King's College.
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Machine learning Engineer@ Amine Cyber
London, UK
Evaluated and developed RL algorithms to predict student knowledge levels pre/post learning sessions.
Research Intern (Biomedical Engineering)@ King's College London
London, UK
Used multi-modal models (image/non-image data) to phenotype brain lesions in Tuberculous Meningitis patients.
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Data analytics (Reverse Engineering & Optimisation)@ Youta Shengshi Tech
Shenzhen, China
Applied cutting-edge interpretation methods for compiled code analysis; Results published on developer site.
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