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I’m an incoming PhD student at , where I also completed my MSc in Robotics. My master’s thesis was a collaboration between and , supervised by Prof. Marco Hutter and Prof. Caglar Gulcehre. My research interests lie at the intersection of efficient multimodal learning, reasoning, and actuation.

I had the pleasure to work in the POSS lab of Prof. Huijing Zhao at Peking University on 3D perception, Xu Lab of Prof. Min Xu at Carnegie Mellon University on Cryo-ET generative models, CVLab with Dr. Mathieu Salzmann at EPFL on neural networks quantization for object detection and pose estimation.

I worked as a student researcher at in 2024, contributing to the project InkSight. I also had the pleasure of working as a research intern at ByteDance AI Lab in 2021, where I focused on multimodal representation learning.

Outside of research, I enjoy board games 🎲, soccer ⚽, tennis 🎾, and music 🎶. Feel free to reach out to me if you want to join in on a hike or play some board games.

Work with me

I’m looking to mentor passionate Master’s students who want to explore how we can make AI systems learn and adapt. My research sits at the intersection of neuroscience, robotics, and AI - specifically looking at continual learning and multimodal systems.

If you have a good foundation in deep learning and get excited about these topics, I’d love to chat about potential research projects!

Research Interests

  • Multimodal Learning
  • Efficient and Continuous Learning
  • Perception and Reasoning

Industry Experience

  • Student Researcher, 2023 - 2024

    Google Research

  • Computer Vision Research Intern, 2021

    ByteDance AI Lab

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