Education #

PhD, Nanosciences, University of Manchester, 2019-2024
Thesis Title: BLINK: Photodetectors for contact lenses

B.Sc. (Hons), Artificial Intelligence (First Class), University of Manchester, 2016-2019 Relevant Courses: Multivariate Statistics (R), Introduction to Financial Mathematics, Symbolic AI (Prolog), Machine Learning & Optimization (MATLAB), Quantum Computing, Mathematical Biology, AI & Games (Lua).

Projects #

• Edify
• Running Meal Planner
• Discipline Chair
• Flow Box

Research Experience #

PhD Candidate Researcher, NEST Group, University of Manchester, 2019-2024

• I developed a wireless, photodetector platform for smart contact lenses. I devised the fabrication process utilising photolithography, etching and deposition and implemented it in a C100 cleanroom at the National Graphene Institute. Designed a 3.5mm x 3.5mm flexible PCB to host a microcontroller chip for contact lens operation.
• As part of this work, I also designed, fabricated and tested wireless power transfer coils for near field communication (13.56MHz). I used finite element modelling in COMSOL to design and simulate the coils. I also characterised these coils using the PocketVNA and a good, old fashioned oscilloscope.
• Wrote an assortment of measurement automation scripts for the Keithley2450.
• Won £20,000 at the Eli Britt Harari competition to further explore the use of nanomaterials in novel applications.

Research Assistant, Interaction Analysis and Modelling Lab, University of Manchester, 2017-2018

• Led an independent project on wearable strain sensing using graphene tattoo sensors that won the Global Undergraduate Award in Engineering in 2019.
• Developed a Java application to extract data from the TI-AWARE platform for unobtrusive monitoring of people with Parkinson’s Disease.