Tang Haochen is a penultimate year Philosophy and Economics student at University College London, UK.

Previous (24-25) Vice President of UCL Philosophy Society

Forecasting the Future is my interest

  • Having achieved a BPhO Global Silver Medal during my IGCSEs with an initial aim to study physics, I later found the maths, particularly mechanics and further mechanics, too demanding, realising a strong mathematical foundation is crucial for the field. Consequently, I transitioned to economics, where I found the subject quite intriguing and went on to achieve an NEC National Silver Award and an IEO National Bronze Award during my AS Levels.

  • In April 2024, upon applying for the Bridgewater Associates internship programme, I received an email from Bridgewater introducing their collaboration with Metaculus on a forecasting competition, which prompted me to register. In this inaugural Bridgewater Forecasting Contest, I ranked in the top 12 percent and was awarded a $123 prize for excellent performance across both the Open and Undergraduate Leaderboards. This amount was then donated to the Centre for the Governance of AI (GovAI), in coordination with Metaculus' COO, to support their research in AI governance. Subsequently, in the Bridgewater Forecasting Contest (Global), I achieved a top 8 percent ranking among more than 3,000 participants from around the world.

  • It all begins with an idea. Building on a foundation in Philosophy and Economics, my work has evolved from theoretical inquiry into high-impact AI implementation and alignment. In early 2025, I focused on evaluating AI governance frameworks and fiscal viability models like the AI Dividend Income (AIDI), which estimated a sustainable contribution of 8-12% of GDP to ensure societal resilience. By mid-2025, I transitioned into technical execution at Xnurta, where I architected LLM-as-a-Judge workflows and refined multi-stage post-training methodologies. Most recently, my invitation to AAAI-26 in January 2026 serves as a platform to further my belief that AI should not be viewed merely as a tool for software or hardware, but as a fundamental collaborator.

  • New things are on the way.

Many successful talents pretend that they set their minds to what they want to do for a career at a very early age, and then keep working hard in that direction to learn and gain experience. However, they either just lie to themselves that they are into that direction; or they just follow the crowd. As Carl Yung said, ‘If the path before you is clear, you’re probably on someone else’s.'

To be honest, I don't know where my future is heading. I used to be certain; now I'm not. But this uncertainty is good, because there's a nice alias for this situation called unlimited possibilities.