ABOUT

I'm an A-level student most passionate about how we can secure a positive long-term future for humanity. Most critical is ensuring that the emergence of potentially smarter-than-human AI systems occurs safely, minimising the risk of global catastrophe. Currently, I help others realise their potential for high impact, and their agency, through my work in Leaf's fellowship programmes, which aims to increase the amount of talented, thoughtful, and creative people working in various key cause areas.

In the past, I've also navigated these pressing areas through taking part in the Non-Trivial Fellowship, where I won a £500 scholarship for a project surrounding field-building within the field of AI safety. I also won a Special Commendation from the University of Oxford's Big Think Competition, for a well-produced video essay covering the question of, "if AI goes rogue, can't we just turn it off?".

When I'm free, I'm usually training for my next half-marathon, resistance training, watching House M.D., or creating some sea-lantern-infested Minecraft skyscrapers!

EXPERIENCE

JUL 20241 — PRESENT

Dilemmas and Dangers in AI, Facilitator • Leaf

The Mathematics of Morality, Fellow
Dilemmas and Dangers in AI, Finalist

In February 2024, I was invited as a Finalist to Leaf's "Dilemmas and Dangers in AI" (DDAI) course, where I covered the most pressing risks brought on by the accelerating development of AI systems, such as inner/outer misalignment and convergent instrumental goals. From there, I went on to take part in their alumni fellowship, "The Mathematics of Morality", and then began to facilitate DDAI in the summer of 2024, where participants I led stated that I "did an exceptionally great job in introducing controversial counter-arguments for us to consider and discuss", with 80% of them feeling that I exceeded their expectations.

I'm now playing a hand in helping improve Leaf's course content, facilitating weekly discussions, and being an influential part in the making of exceptionally altruistic teenagers this year.

MAY 2024 — AUG 2024

Fellow • Non-Trivial

This consisted of an 8-week fellowship on solving the world's most pressing problems, over which I created a project focusing on distilling information on the technical AI alignment landscape, and the potentially existential risks from AI as a whole, to a wider audience.

During the fellowship, I attended talks from pioneers such as philosopher Peter Singer and AI researcher Yoshua Bengio, and I had guidance on my project from experts at top universities, such as Oxford, Cambridge and Stanford. Following the completion of the project, I was given a £500 scholarship to continue doing meaningful and important work.

1I'm facilitating for Leaf's '2025 cohort, and have done so last year for Leaf's '2024 cohort, with a break in the middle.



EDUCATION

SEP 2024 — PRESENT

Student • Surrey Maths School

A-Levels: A* A* A* A* (predicted)

(Maths, Further Maths, Physics, Computer Science)

A specialist maths school in Guildford, Surrey, where I'm currently studying my A-levels full-time. I've regularly volunteered where I can, for example with the tutoring of Year 6 students in the nearby Guildford Grove Primary School.

SEP 2019 — SEP 2024

Student • Ernest Bevin Academy

GCSEs: 999999999
(9 in English Language, 9 in Mathematics)

I was awarded a full set of Grade 9s across every subject: English Language/Literature, Mathematics, Physics, Chemistry, Biology, Geography, Spanish, and Computer Science, placing me (roughly) in the top 0.01% of exam results in England.



PROJECTS

OCT 2024 — JUN 2025

Surrey Maths School Project Qualification

Can a simple computer program predict musical preferences?

This group research project consisted of an initial psychological experiment conducted on our own school, which aimed to assess the extent to which instrumentation affected musical preferences using various statistical and sampling methods, such as the two-tailed t-test.

After it was (surprisingly!) determined that there was insufficient evidence supporting that instrumentation meaningfully effected musical preferences, we used it to inform the production of a simple computer program which used genre as a proxy to predict musical preferences, using dynamics and harmony. The program took a large, assorted set of songs of various genres, and another smaller list of songs of a genre we wanted to pick out. From there, the program would output the list of assorted songs in order of how closely they match the songs we want to pick out.

Out of a list of 16 random songs (5 of which we wanted to pick out), the program successfully ranked 4 of the songs we wanted to pick out within the top 5 rankings.

MAY 2025

St. Edmund's Hall Big Think Competition

If AI goes rogue, can't we just turn it off?

This involved the production of a 5-minute video essay on the above question. During it, I covered key important concepts within the field of AI safety, such as the orthogonality thesis, instrumental convergence, the "race to the bottom" with capabilities development, and recent examples of sycophancy and deception within AI systems that could pose a serious risk when scaled up.

I went on to win a Special Commendation for the video essay, being recognised for an "excellent knowledge of state-of-the-art", as well as "clear on-screen summaries" and a "nice definition of intelligence".

APR 2025

Tom Rocks Maths Essay Competition

Mathematics on the Back of a Napkin

My submission for this essay competition was on "back-of-the-envelope", or in this case, "napkin", calculations; i.e. Fermi problems. This (mainly fun) read begins with an estimation as to how many tennis balls fit within the Eiffel Tower, using techniques such as exponential interpolation to estimate the mathematical equation to which the tower's curve matches and knowledge of sphere packing, before then estimating how long it would take to find an atom hidden randomly in the universe, and then using the binomial formula to model the infinite monkey theorem given that, just like us, they are also allowed to make mistakes.

After a brief dive into some smaller estimation problems, the essay ends with a poignant calculation on how much the average relationship (and breakup) weighs, and then ways in which Fermi estimations are really used in real life.



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