I’m a Research Scientist at Adobe Research. I obtained my PhD from Columbia University. I am broadly interested in the intersection of HCI, AI/ML, and AR/VR, with a special focus on leveraging AI/ML to develop human-centered interaction techniques. I aim to develop techniques that bridge the digital and physical worlds, fostering a more integrated and intuitive user experience. I have also worked on developing trustworthy ML models that produce consistent and reliable output. I am a recipient of the Snap Research Fellowship (2019) and the Cheung-Kong Innovation Doctoral Fellowship.
My research outcomes have an impact beyond academia. At Adobe, my research on new AR shopping experiences has been presented at Adobe’s Summit Sneaks 2022. This feature has also been integrated into Adobe Commerce’s product, the AR Viewer, where I lead the research and development. My past work has received more than 50 media interviews and coverages, including by CNN, Adweek, CACM, and IEEE Spectrum. I also hold 8 US patents.
I’m always on the lookout for interns and collaborators. If you’re interested in my research and would like to collaborate, please send me an email.
|Aug 1, 2023||One poster accepted at UIST 2023.|
|Jan 7, 2023||Two LBW papers accepted at CHI 2023.|
- BackTrack: 2D Back-of-device Interaction through Front TouchscreenACM CHI Conference on Human Factors in Computing Systems, CHI , 2021
- Enhancing Adversarial Defense by k-Winners-Take-AllInternational Conference on Learning Representations, ICLR 2020 (Spotlight, top 3%), 2020