💡 Who am I, and what drives my work?#
I’m a researcher, developer, and open-source advocate exploring how computational tools can help us better understand the social world. I am currently a PhD candidate in computational social science at the University of Oxford, with a background in computer science and prior experience in the tech industry.
🌲 What is my research about?#
My work focuses on developing computational and AI-based methods, such as sequence analysis, clustering, and sequential modelling, for analyzing large-scale social data. At its core, my research aims to help integrate social science more seamlessly into the big data ecosystem, enabling more scalable and reproducible ways of studying complex phenomena like socio-economic and gender inequality.
🛠️ What have I built?#
I’m the creator of Sequenzo, an open-source Python toolkit for fast, scalable, and intuitive sequence and cluster analysis, which is designed for both academic researchers and applied industry use cases.
🌍 Why do I care about sharing knowledge?#
Drawing from experiences in both academia and tech, I strongly believe that doing research doesn’t have to mean staying in an ivory tower, and working in industry doesn’t have to be repetitive or uninspired, as it’s often stereotyped to be. That’s why I regularly publish blogs and produce video tutorials to help democratize access to critical research mindsets and technical skills that matter in both domains.
To many in the Chinese-speaking online community, I’m simply known as “Qiqi (祺祺)”, which is a name I use when sharing ideas, tools, and tutorials.
You can find me on: GitHub Twitter LinkedIn YouTube
中文社区: 哔哩哔哩 小红书 微信公众号: 祺祺的呆呆兽是马杨杨