University of Liverpool

AI-Assisted Stability Certification for Net-Zero Power Systems

Intern: Bilegsaikhan Tuvshintulga
Degree course: Computer Science with a pathway in Data Science
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I’m a Computer Science student on the Data Science pathway at the University of Liverpool. I chose this degree because I’ve always been drawn to problem-solving and to understanding how intelligent systems work. I’m particularly interested in machine learning, research workflows and computational tools that support scientific discovery. After I graduate, I plan to work in a technical role in ML or research software engineering, ideally contributing to projects with real-world impact. Outside my studies, I enjoy reading, fitness and exploring systems that help me improve how I learn and work.

Why did you apply for this internship?

I applied because I want to build deeper technical experience in machine learning and learn how real research workflows operate. This project combines AI, modelling and HPC in a way that directly fits what I want to develop next. It’s a chance to contribute to meaningful work while learning from experienced researchers.

What do you hope to gain in completing this project?

I hope to gain practical experience with research-grade machine learning workflows, especially working with HPC tools, reproducible experiments and symbolic modelling. I also want to learn how researchers structure complex problems and turn ideas into tested results. The aim is to finish with stronger technical depth and a clearer understanding of how ML is applied in real scientific work.

Pilot for searching NHS imaging records

Intern: Coker Abraham Babafemi
Degree course: Data Science for Health
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I am a medical doctor with a developing specialisation in health data science, currently studying for an MRes in Data Science for Health at the University of Liverpool. I chose this path because I have always been deeply passionate about technology, as my exposure to clinical medicine made me aware of how much healthcare could benefit from future integration with modern computational tools. AI is one such tool that stands to benefit a lot of lives if applied responsibly. making the possibility of a cost-effective, efficient and reliable healthcare for all very real.

After I graduate, I plan to further develop my skills by pursuing a phd program in related disciplines that merge healthcare with AI, and also secure roles that provide me with real-world experience, and broaden my perspective on the rapidly evolving technological landscape. Outside my studies, I enjoy tinkering with my home server on various personal projects(working with Docker, networking and dev-ops tools, and creating automation scripts), as well as gaming and watching anime

Why did you apply for this internship?

At the heart of AI is high-quality Data, and for healthcare to leverage AI, a sustainable pipeline is needed to ethically prepare this data. But until such systems are fully established, making the most of the rich datasets already available is the best way forward. This internship represents an important step in that direction. And working with advanced tools and computational systems, learning and deepening my understanding in this crucial step in AI development, as well as contributing to fixing a real-world problem, is why I applied for this internship

What do you hope to gain in completing this project?

I hope to gain practical experience in building and evaluating real-world search tools for large-scale clinical datasets, and deepen my understanding of natural-language processing challenges in healthcare and learn how keyword search, LLM-augmented search, and embedding-based methods work in clinical text.

I also hope to gain hands-on experience with high-performance computing environments, developing skills in model evaluation, vector databases, indexing, and the considerations required when scaling solutions to millions of records.

Additionally, I want to learn the full process involved in running a project of this nature.

From Images to Insight: AI and Digital Twins for Retinal and Systemic Diseases

Intern: Zhiheng Wang
Degree course: MSc. Advanced Computer Science
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I chose the MSc in Advanced Computer Science primarily for its diverse range of optional modules. This structure allows me to further my general computer science education while specifically gaining in-depth knowledge in Artificial Intelligence. Upon completion of the programme, my goal is to pursue a PhD with a research focus on AI. Outside of my academic studies, I am an avid fan of video games.

Why did you apply for this internship?

I applied for this internship because it offers an opportunity to put myself in an academic research environment. I will be able to observe the research process firsthand and gain experience that will support my future academic goals. As the internship runs parallel to my upcoming AI modules in the next semester, it will allow me to strengthen the theoretical knowledge from my lectures through practical application. Furthermore, I will be able to use my programming skills I learnt in semester 1 about MPI and CUDA, while further expanding my knowledge in HPC.

What do you hope to gain in completing this project?

I hope to gain an understanding of the academic research process and practical experience for my potential future PhD studies. Additionally, I also want to gain experience in AI and parallel computing by applying CUDA and MPI frameworks in HPC.