Internships

I am interested in how spintronics and 2D materials can be utilised to realise Kolmogorov-Arnold Networks for neuromorphic computing architectures that are both energy-efficient and inherently interpretable. 

Previously, I worked on fabricating novel 2D Van der Waals heterostructures to demonstrate controllable spin-charge interconversion using 2D ferroelectric and multiferroic materials. I have also applied machine learning to problems of symbolic regression, image recognition, and classifying chaotic versus regular motion in dynamical systems. 

She is interested in human AI interaction design, specifically how AI systems can be made interpretable and accessible to the people using them, and the role that user-centred design plays in that process. Her projects include Harmonia AI, an affective computing application that uses emotion classification to drive generative music outputs through Meta’s MusicGen model and the Replicate API, and Planet Pals, an AI powered educational game made in collaboration with the National Space Centre for children in primary school. She captains the Leicester Panthers cheerleading team, three-time national champions, and is fluent in French. 

Growing up in the Shetland Islands, I had quite a unique learning experience which really shaped my curiosity and drive, so I'm excited to bring that to a research environment this summer! 

I am passionate about applying machine learning to solve real-world engineering challenges, particularly in robotics, autonomous systems, and electronic design automation.

Experience: 

• Visiting Student Researcher in Robotics, Caltech, USA (Master’s thesis) 
• IC Design Intern, STMicroelectronics, Edinburgh Design Centre, UK (2 summers) 
• Machine Learning Trainee, AI4Good Lab (Mila, Amii, CIFAR, Vector Institute), Canada 
• President, Electronics and Electrical Engineering Society, University of Edinburgh, UK 
• Vice-Chair, IEEE Student Branch, University of Edinburgh, UK 

I previously interned at Citi as a software Engineer and at AllState as a Software Test Engineer. 

My academic interests lie in high-performance computing and its applications to real-world problems, with a growing interest in electronics and chip design.  

Outside of Academic, I enjoy running, playing golf and I work in McDonald's. I am really grateful to be accepted onto this program and looking forward to getting involved in research.  

My research investigates how AI shapes everyday interactions, with a focus on designing technologies that are ethical, inclusive, and grounded in real human needs. My recent work investigates the effects of multi agent AI mediation in small groups, exploring the dynamics of human-LLM conversations. I have previous experience in ML, data science and software engineering, and I aim to ultimately pursue a PhD in Artificial Intelligence, focusing on human-centred and socially responsible AI systems. 

My current research explores the security and safety of large language models, including adversarial jailbreak mechanisms and how creative forms of prompting can influence AI behaviour. Alongside my research, I have experience in software engineering, game development, and the design of interactive systems using Arduino-based hardware. My previous projects include developing educational software for medical students, building a 3D rendering engine in C++, and creating interactive games using modern game development frameworks.

I am particularly interested in the intersection of AI, security, and human behaviour, with a focus on developing trustworthy, resilient, and human-centred intelligent systems. 

I have recently completed a dissertation using digital twins to assess the safety of autonomous vehicles, using computer vision alongside YOLO models to predict hazards. Last summer I attended Q-Camp Summer School at the University of Gdańsk, where I developed a strong interest in post-quantum cryptography and the future of AI in the quantum era.

In September, I will begin an MSc in Artificial Intelligence at QUB, hoping to expand my knowledge of computer vision, particularly for real-world safety analysis use cases like my dissertation.

In the future, I see myself working in AI ethics research, understanding the safety and bias of AI in our world.
Outside of my studies, I am really interested in the representation of women in STEM, serving on the executive committee for QUB Women in STEM and taking part in the Belfast Women Techmakers group.

I am thoroughly interested in cloud architecture, machine learning, and computer vision. As an AWS Certified Cloud Practitioner, I've gained hands-on experience through internships where I applied computer vision techniques to VR robot vision testing and led an ML-based fraud detection project presented to 400+ attendees. My work also spans simulation projects including a weighted grid model with consensus updates, segregation, and flood fill algorithms.

Outside of my studies, I enjoy crocheting, baking and hiking.

His research focuses on battery health prediction using machine learning, particularly Remaining Useful Life (RUL) and State of Health (SOH) estimation for lithium ion batteries. His interests include artificial intelligence, data driven modeling, battery systems, and edge AI applications. He completed his undergraduate studies at Sabancı University and has worked on projects involving machine learning, optimization, and battery analytics. 

He is passionate about leveraging computational physics and numerical calculations to explore the structural and electronic properties of nanomaterials for next-generation sensors, nanoelectronics, and emerging computing architectures. 

Research Experience 

Published peer-reviewed research investigating the physical properties and quantum nanosensing applications of 2D materials, with a specific focus on borophene. Conducted a TUBITAK research project focusing on the electronic characteristics and band gap properties of 2D semiconductors. Proficient in performing advanced materials modeling and first-principles calculations using Quantum Espresso and the Atomic Simulation Environment (ASE). 

Technical & Engineering Experience 

Gained practical experience in semiconductor device simulation and multi-physics modeling utilizing Sentaurus TCAD and COMSOL. Actively engaged in specialized research groups focusing on MEMS and advanced sensor technologies, bridging the gap between fundamental physics and applied hardware development. Possesses a strong foundational interest in the integration of novel materials into memristor technologies and hardware-level simulations. 

Research Interests:

I have a strong passion for electronics, particularly in enhancing design and architecture to achieve optimal results.  
I am keen on integrating AI into these processes to improve efficiency. I am deeply interested in leveraging FPGA 
accelerators to speed up deep neural networks. I am an active member of the Electrical Team in the Hydrogen Fuel Racing Society. My areas of expertise include: circuit and PCB design, digital electronics, Python and C/C++ embedded programming. 

Experience:

• Team lead in the Line Follower Robotic Vehicle group project.  
• Electronics Repair Technician at The Tech Bar, Glasgow.
• Welsh Baccalaureate Research Project: "Can Hydrogen fuel our Future?". 

Research Interests:

Aerospace engineering with a focus on AI-driven solutions, including UAV performance analysis, trajectory prediction, and autopilot training. Skilled in MATLAB, Simulink, and AeroSim, with experience in HIL/SIL simulations, sensor fusion, and AI optimization. Passionate about applying AI and control systems to advance aerospace research.

Experience:

• Aircraft Performance and Control Engineer
• Founder of Nevspace (Modular Space Propulsion Startup)
• Intern at Airbus UK 

Research Interests

Processing-in-Memory (PiM) architectures, Neuromorphic Computing, VLSI Design, and Digital & Mixed-Signal Integrated Circuit Design. Passionate about developing innovative circuit and system-level solutions using emerging memory technologies that improve energy efficiency and computational performance.

Research Experience

• Gained hands-on experience in full-custom analog and digital integrated circuit design.
• Contributed to the development of privacy-preserving filters using adversarial machine learning techniques, targeting secure and robust data processing systems.

Industry Experience

• Worked as a part-time engineer where responsibilities included algorithm development for embedded systems with constrained resources and timing requirements.
• Completed internships in Internet of Things (IoT) and electronic systems engineering, focusing on real-world applications and hardware-software integration.

Research Interests:
Neuromorphic computing, Processing-in-Memory (PiM), VLSI design, and computer architecture. Particularly interested in novel system and circuit designs that enhance computing performance and efficiency.

Research Experience:
Conducted NLP research at KocLab under the supervision of Asst. Prof. Dr. Aykut Koc.
Collaborated with InterLabs on privacy-preserving adversarial filters for face recognition systems.
Developed an automatic irrigation system using sensor data and microcontroller logic to optimize watering based on real-time soil moisture levels.

Industry Experience:
Designed a CAN bus protocol and developed embedded algorithms on STM32F4 boards.
Worked on object detection and performance optimization for deep learning models at InterLabs.