About
A self-motivated and diligent PhD student at the University of Warwick. My research involves using ML and AI to explore mosquito behaviour with the overall aim of identifying behaviours that can be exploited by disease intervention mechanisms and thus reduce the spread of mosquito-borne diseases.
Prior to this, I graduated with a First Class Honours in BEng Systems Engineering. During my degree, I gained a wide range of volunteering and work experience in a diverse set of organisations.
I thrive in environments where I can apply myself and, from my Engineering background, use analytical thinking and problem-solving skills to provide solutions. I am especially keen in opportunities where I can demonstrate and enhance my current skillset whilst developing new skills.
Personal Projects
Below are some interesting projects that I have worked on.
Activities
The table below consists of various activities I have been involved with from hosting events to volunteering.
Activity |
Description |
WDSS Outreach and Talks Officer |
Involved creating, developing and hosting talks for Warwick Data Science Society. Also entailed connecting with other societies and external organisations. |
DataBasic Podcast Host |
Was a part-time podcast host for DataBasic |
400m Athlete |
Competed both regionally and nationally since 2011. |
Warwick RAG - Challenge Leader |
Led the London to Paris Bike Ride challenge, raising money for Breast Cancer NOW |
Engineer's in Business Competition Winner |
Won the competition with the start-up ClimaCredits - a reward scheme for sustainable products. |
Research
My current research focuses on machine learning. During my PhD, I specialised in utilising machine
learning to analyse mosquito trajectories, so that we can extract behavioural information to assist with
the ongoing research to improve disease transmission intervention mechanisms. In addition to this, I actively engage
in other research endeavors spanning from the identification of biomarkers to forecasting epileptic seizures using
wearables.
Paper |
Status |
Finding a Husband: Using Explainable AI to Define Male Mosquito Flight Differences |
Published - MDPI Biology - Machine Learning Applications in Biology |
Double Vision: 2D and 3D Mosquito Trajectories can be as Valuable for Behaviour Analysis via Machine Learning |
Under Review |
Trends in Chemical Sensors for Non-Invasive Breath Analysis |
Under Review |
A 'weather forecast' for seizures. Artificial intelligence To Optimise Seizure
Prediction to Empower people with Epilepsy (ATMOSPHERE): Proof-of-concept
mixed-methods research |
Under Review |
Contact