Hi There!

I am a recently graduated Theoretical Physics Student at Trinity College Dublin Ireland and last year I completed my MRes in Nanoscience and Nanotechnology at Cavendish Laboratories, Cambridge; I have an interest in both Mathematical Physics and Machine Learning and hope to combine these areas of physics throughout my future career.

I have a wide knowledge of various mathematical concepts in physics as well as experience in experimental physics, having completed four experimental and computational internships at Tyndall National Institute, VULCAN Laser Research Facility, IBM Research Ireland and Quantum Motion Technologies at UCL.

I am currently pursuing my PhD on applying Machine Learning strategies and simulating Quantum Technologies.

Previous Experience

IBM Quantum

Implementation of VQTE algorithm in Python and undertaken a detailed comparison of its performance with the standard approach that relies on a Trotter decomposition
Studied the transport properties in quantum lattice models, in which IBM’s quantum devices were used to observe super diffusion in the Heisenberg chain.
Experience with error mitigation, having written a literature review and applied to several sets of results from IBM’s quantum devices.
Several Quantum Machine Learning Projects such as Quantum Convolutional Networks, Quantum Autoencoders and Quantum Reinforcement Learning. This included a publication of a Qiskit tutorial on IBM’s official qiskit website.
Attended conferences in both Berlin and IBM Zurich and was involved in several discussions and collaborations throughout Europe.

Completed review of both the Capacitance Model and the Circuit QED approach of quantum dots, particularly in Silicon circuits.
Applying a new theoretical formalism, where circuit quantum electrodynamics is used, to determine the dispersive readout of multilevel systems
Applying this new formalism to a specific system containing a double quantum dot coupled to a superconducting resonator
Shadowed researchers and PhD students over several experiments and measurements of Quantum Dots.

Quantum Motion Technologies

VULCAN Laser Research Facility

Created a Theoretical framework, simulation, and design of a new OPCPA system to be installed at Vulcan soon, aiming to enhance the peak power of the laser pulse to 20 PW
Supervised Duty Officer of both the Front End and Laser Areas of Vulcan Petawatt Laser
Worked with various users from different universities and research complexes on physics experiments requiring ultrafast lasers, from plasma physics experiments to cancer diagnostics.
Completed a project to design a theoretical model for certain cavity behaviors and designs at Vulcan Laser Research Center.
Created a machine learning algorithm to retrieve the phase of an ultrafast pulse using dispersion scanning and applied HPC and parallel processors to simulate data
Created a software program for users to detect and record jitter analysis and pulse length of ultrafast lasers.
Aligning elements and maintenance in the Front end of Vulcan Laser, including the alignment of a third order cross correlator

Taking various measurements of Quantum Dots, such as spectrum and lifetime, gaining experience in laboratory procedures and how to carry out an experiment
Designing Models of SILs for Quantum Dots and creating various computer simulations in Python to determine the most efficient lens
Completed a project on enhancing the efficiency of a Quantum Dot using SILs lenses
Completed project on the lifetime of an Exciton in a Quantum Dot
Adapting work during the pandemic and creating an Inverse Design platform for nanophotonic at Tyndall National Institute
Completing a project on Inverse Design and joining two different method of Adjoint Optimization to find the optimal design of a device