Biography

I was born and raised in a small city - Linfen in Central China and received my Bachelor's in Electronic and Electrical Engineering from University College London. I went on to Imperial College London for my Master's in Machine Learning. From my university life in the UK, I realised that I want to become a researcher and work in academia, contributing to the frontier of AI. My research is driven by the potential of AI in real-world applications ("AI for good"). I believe that the event is the fundamental element of civilization, conceptual understanding, and learning from experience. My ultimate, ambitious goal is to have events embedded into a symbolic approach, allowing an AI to be tuned with rewards based on its behavior, the consequences of its actions, and its prediction of the future. This reflects the real world, where rewards are multifaceted and not based on a single metric. This foundational vision was crystallized by my initial focus on real-world challenges like the early detection of epidemic outbreaks. Rather than building a single application, my PhD has focused on developing the core methodologies needed to tackle such complex problems. Under the supervision of Professor Nigel Collier, and my advisor Dr. Zaiqiao Meng, my doctoral work now establishes the methodological foundations for this vision. I am honoured to be a part of the Gates Cambridge community and grateful for the generous support of the Gates Cambridge Scholarship.

Previous Education

Imperial College London (University of London) Computing (Machine Learning) 2019
University College London EEE 2018

Links

https://scholar.google.com/citations?user=39a2s0EAAAAJ&hl=en
https://www.linkedin.com/in/meiruzhang