About me

I am currently a PhD Student at Rice University advised by Prof. Guha Balakrishnan. My primary research interests are developing responsible computer vision systems. In particular, I am investigating novel methods to better evaluate black-box vision models and their learned feature representations. In F?D, we perform a causal analysis linking differences in semantic attributes and distortions between face image distributions to Fréchet distances in deep feature spaces. In GELDA, we develop an automatic annotation framework that leverages LLMs and VLMs to discover visual biases in real datasets and image generators.

Prior to joining Rice University, I completed my B.S. in Physics and M.S. in Electrical and Computer Engineering at UCLA. Outside of research and academia, I enjoy soccer (avid Chelsea F.C. fan), squash, bouldering, video games, and listening to music and podcasts.

Updates

• I will be interning at Adobe Research this summer!
• 2 papers (1, 2) accepted at the Responsible Generative AI Workshop at CVPR 2024!

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