I'm Ming Yi, a data scientist and software engineer with a passion for applying computational methods to biology and chemistry. Currently based in Chengdu, China, I work at INGIA where I apply my expertise to synthetic biology.
I studied Computer Science in Switzerland at two prestigious institutions: University of Zurich (UZH) and ETH Zurich (ETHZ). This education provided me with a strong foundation in both theoretical and applied computer science.
I believe in continuous learning and balance. While I'm deeply technical in my work, I find harmony through yoga, outdoor activities, and exploring Buddhist philosophy. I strive to bring mindfulness and clarity to everything I do.
Leveraging machine learning and statistical methods to extract insights from complex biological and chemical datasets. I develop algorithms and models that drive decision-making in synthetic biology projects.
Building robust, scalable systems for scientific computing. I create tools and platforms that enable researchers to efficiently process, analyze, and visualize biological data.
Applying computational approaches to design and optimize biological systems. At INGIA, I work on cutting-edge projects that bridge the gap between computer science and biological engineering.