Student Spotlight: Taiki Katayama

Name: Taiki Katayama

Course: Computational Statistics and Machine Learning MSc

Department: Computer Science

Can you tell us a bit about yourself?

I am currently enrolled in the MSc in Computational Statistics and Machine Learning. My studies span two disciplines: I explore machine learning methods, including supervised and reinforcement learning, in the Department of Computer Science, while also delving into statistical analysis techniques, such as Bayesian statistics and linear models, in the Department of Statistical Science. My journey into science began with Stephen Hawking’s A Briefer History of Time, which sparked a deep curiosity about the natural world. This fascination evolved into a passion for applied mathematics. After focusing on statistical modelling during my undergraduate studies in mathematics, I chose to join UCL to further specialise at the intersection of these fields. 

What first sparked your interest in this subject, and why did you choose to pursue it at UCL? 

What fascinates me most about this field is how computational statistics and machine learning empower us to uncover hidden patterns and make sense of complex phenomena. I became particularly drawn to the computational methods, specifically the power of advanced algorithms and statistical models, because of the unparalleled flexibility they offer in analysing and interpreting vast amounts of real-world data.  

I chose to pursue my degree at UCL because of its inclusive environment and its reputation for being exceptionally welcoming to international students. Moreover, the opportunity to learn directly from world-class researchers and engage in a high-level academic environment made UCL the ideal place to advance my academic skills. 

How would you describe your experience on the programme so far, both academically and as part of the UCL community? 

The academic experience at UCL is defined by an incredible breadth of choice. Looking at the curriculum on the course website, you will notice a vast array of modules available. This variety extends to research projects as well, with options ranging from diverse theoretical studies to industry-led projects that apply machine learning to real-world tasks. It is a fantastic environment that empowers students to pursue high-level research in their specific areas of interest. 

What has been the highlight of your time in your degree?

The absolute highlight has been my MSc project. Professor Mirco Musolesi is currently supervising me, and the experience of discussing my ideas and receiving feedback from a world-leading researcher has been deeply inspiring. Engaging at such a high academic level has kept my motivation exceptionally high throughout the research process. 

What opportunities, such as placements, research, or internships, have you been involved in during your degree? 

UCL provides excellent exposure to the forefront of machine learning. A standout opportunity for me has been attending seminars hosted by UCL ELLIS (European Laboratory for Learning and Intelligent Systems). It was genuinely exciting to be exposed to such a diverse range of cutting-edge research. More than just shaping specific career goals, these seminars gave me a real sense of what top-tier researchers are like and how they think. 

Have you taken part in any projects, societies, or extracurricular activities that have shaped your experience?

I am a member of the Student Union’s Kendo club, and we recently won the team category at a UK-wide university tournament. While the academic rigour is a major draw of UCL, the opportunity to represent the university in high-level sports or explore new interests through various clubs is equally rewarding. I highly recommend that prospective students browse the Student Union website to find a club that matches their passions. 

What is the student community like at UCL, especially for international students? 

The community is incredibly inclusive. Since UCL attracts so many international students, you never feel like an outsider; instead, you are constantly exposed to diverse perspectives, which makes the experience very enjoyable. While it is natural to feel anxious about fitting in, the welcoming environment at UCL ensures that you will feel comfortable and at home once you settle in. 

What are some of your favourite things about living in London? 

What I find most inspiring about London is being surrounded by world-leading institutions. It is incredibly exciting to walk past the offices of organisations like Google DeepMind or Springer Nature, places where ground breaking research papers and academic books were born. Being in a city where global innovation happens right before your eyes is a constant source of motivation. 

What career goals are you working towards, and how is your degree helping you get there? 

I am working towards a research career, specifically aiming to contribute to society through machine learning theory. My degree at UCL is helping me build a strong foundation for this by providing a deep understanding of both theoretical principles and their practical applications. Furthermore, the opportunity to learn from and interact with top-tier researchers has been invaluable in shaping my perspective as an aspiring academic. 

What’s one thing you wish more applicants knew about this programme or your department? 

I would encourage applicants to stay curious about topics that might seem slightly outside their immediate area of interest. UCL offers a vast range of modules and research opportunities, and there is a unique satisfaction in experiencing that “connecting the dots” moment where diverse concepts finally align. Embracing the variety at UCL will make your learning journey far more rewarding. 

What are your plans after you graduate?

After graduation, I plan to pursue a PhD to further specialise in my field and eventually secure a research position where I can continue exploring the potential of machine learning.