Nan Li

About Me

Hi, I'm Nan, a PhD student in Data Science at the University of Zurich (UZH). I hold an MSc in Computer Science (Informatik) with a specialization in Artificial Intelligence, also from UZH. Prior to that, I earned my Bachelor's degree in Software Engineering from Beihang University (BUAA) in Beijing.

My research focuses on leveraging machine learning algorithms to address real-world challenges while emphasizing their interpretability and explainability. I’m also deeply interested in the fields of Human-Computer Interaction and Software Engineering, exploring how AI can be made more intuitive and accessible for everyone.

Education

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Projects

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Interpretable Machine Learning Algorithm for Drunk Driving Detection

Crafted interpretable machine learning algorithms for drunk driving detection utilizing a multi-sensor dataset. Emphasized precision and interpretability, employing diverse techniques in multivariate time-series classification tailored for driving data analysis.

[Website] [SRF video]

Multi-Robot Interactive Simulation and Analysis Platform

This project addresses the challenges roboticists face in training locomotion policies by developing an interactive simulation and visualization framework. The framework is designed to facilitate the learning process for quadrupedal locomotion, enabling more efficient and effective policy comparison and communication.

Explanation Methods for Recommender Systems

Conducted research and implemented explanation methods for recommender systems’ outputs, along with quantitative metrics to evaluate these explainers.

On-Campus Works

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