I’m a postdoc at the Computational Imaging Lab in Stanford University working with Professor Gordon Wetzstein. My area of research lies in applying machine learning techniques, especially deep learning, to challenging image and geometry processing problems.
I obtained my PhD from the Interactive Geometry Lab at ETH Zurich under the supervision of Prof. Olga Sorkine-Hornung. During my PhD study, I have had the honour to work at the Advanced Innovation Center for Future Visual Entertainment (AICFVE) in Beijing Film Academy, the Imaging and Video group at Disney Research Zurich, the Creative Intelligence Lab at Adobe Research in Seattle, and the vision group at DeepMind.
I am a Apple AI/ML fellow and a recipient of the Swiss Postdoc.Mobility fellowship and ETH Medal for outstanding doctoral thesis.
11/2022: I was rewarded an ETH Medal for my dissertation.
09/2022: Our paper Generative Neural Articulated Radiance Fields (GNARF) was accepted to NeurIPS 2022.
06/2022: I received the Swiss Postdoc.Mobility Fellowship from Swiss National Science Foundation.
01/2022: I defended my Ph.D. thesis and will start a new journey as a post-doc researcher in Prof. Gordon Wetzstein’s lab at Stanford. My thesis can be downloaded here from ETH Library
01/2022: After being rejected at NeurIPS 2021, Implicit Displacement Fields (IDF) is accepted to ICLR 2022. We thank all the reviewers, including both at NeurIPS and ICLR, for their time, hardwork and valuable advice. Overall, I had a great experience with Open Review."
I served as a mentor for Summer Geometry Initiative 2022 working with 3 brillian students: Ruyu Yan, Nursena Korprucu and Sara Wang. Please check out what we explored here:
I am a proud mentor at CSNOW (Network of Women in Computer Science).