Hello! My name's Kyle and I'm a third-year medical student at the University of Hong Kong. I'll also be pursuing my Master's degree in research during my enrichment year, focusing on my Laidlaw project and hopefully making some inroads to something I've been working on since last year. My project is about the potential of certain types of gut microbiota as a clinical intervention to hypertension, which will be split into two separate clinical trials over the following academic year. On the side, I'm also working on some ideas regarding the correlation between gut microbiome composition and carotid IMT thickness, which will hopefully help explain certain mechanisms behind the causation and correlation between the gut and occurrence of atherosclerosis. Please reach out if you are interested in neurology, volunteering in medical capacities or the Capo Verde national football team.
Cheers!
Hi everyone! My name is Anna and I'm part of the 2026 Laidlaw Scholars cohort at Trinity College Dublin, where I study Mathematics with a minor in Statistics.
For my research project, I'll be exploring a question that is becoming more important as AI develops: who is better at predicting the future, humans or algorithms? I'll be comparing forecasts from machine learning models with those from prediction markets, where collective human judgement is turned into live probabilities. After the 2024 US elections, prediction markets rapidly gained attention for correctly predicting the outcome before many traditional forecasts. At the same time, AI is making data-driven forecasting more powerful than ever. Through quantitative analysis, I'm curious to see whether the best predictions come from human insight, algorithmic pattern recognition, or perhaps a combination of both.
More broadly, I am interested in using mathematics to better understand and solve real-world problems like this one. I'm especially drawn to the way it combines logic with creativity, allowing us to approach challenges from different angles and develop efficient and innovative solutions.
Feel free to reach out if you want to discuss research or simply chat!
I'm entering my second year at HKU this fall. It wasn't until now that I have somewhat solidified my interests to be at the intersection of Sustainability, Conservation, and Urban Planning of Asian Cities.
Before joining uni, I took over three gap years working around the world and reflecting on my many identities. My work has spanned across Edtech, Heritage Conservation, Food Security, Nature Conservation, Policy Analysis, and Social Impact Sectors across the Global South.
Beyond my work and research, I love to listen to music produced during from the 60s to 80s in anywhere around the world. I also love doing crafts as it notoriously saves me from supposed doomscrolling on Instagram. Also, I am secretly considering to debut as a private chef someday... who knows!?
Hi! This is Avian, a second-year student of History at the University of Hong Kong. My research centres around identity and sense of belonging in urban colonial societies, specifically the arbitrary distinction between the “Colonials” and the “Governed,” and those that laid somewhere in between. Outside of the archive, I am a diligent in-class Tetris gamer, amateur banjolele player, and most importantly, a lifelong book hoarder. Please feel the most welcome to reach out anytime!
Hi~ My name is Galiya, I'm from Kazakhstan, currently based in Hong Kong. Love learning about different cultures and languages, so if you want to connect and discuss literally anything, hit me up on DMs :D
Briefly about my interests and achievements:
I am interested in AI ethics and learning science and have built a track record at the intersection of education and AI.
My experience spans teaching, admissions consulting, and content creation in international environments across Kazakhstan, South Korea, Italy, and Hong Kong. I am particularly interested in improving access to global education and how AI is reshaping the traditional forms of education.
Currently, I am developing research through the Laidlaw Scholars Programme, focusing on university-level assessment methods in the context of GenAI.