Hi there! 👋 I am a PhD student in Computer Science at Columbia University, where I work in machine learning. I am broadly interested in developing AI systems that can accelerate and transform scientific design and discovery, and in applying these systems to real-world problems in healthcare and climate change. I'm fortunate to be co-advised by Carl Vondrick and Rich Zemel, and to be supported by the NSF Graduate Research Fellowship.
Previously, I completed my Bachelors in Computer Science at Princeton University, with a minor in Applied Math. I had the pleasure of working with Olga Russakovsky in the Princeton Visual AI Lab and Ryan Adams. I also spent a summer at Google.
I am trained in Indian Classical Music and perform concerts. Music page coming soon!
VQA Workshop, CVPR 2021 (Poster Spotlight).
We extend Visual Question Answering (VQA) to questions requiring pointing gestures and introduce benchmark datasets and model designs for this new question space.
Arjun Mani, Ryan Adams
Best Research Project, Princeton Program in Applied and Computational Mathematics (PACM)
Represented word embeddings using multivectors in a geometric algebra and showed results suggesting greater expressivity in word similarity, analogy solving.
IEEE Transactions on Medical Imaging, vol. 36, no. 3, March 2017
Pioneered a deep learning-based, adaptive improvement of state-of-the-art segmentation techniques, which achieved ~10% accuracy gains on MRI and CT lesion datasets.
Check out my Projects page for various projects that I have worked or am working on, and my music page for links to past and upcoming performances. I will be starting up a blog soon as well, so keep an eye out for that!
Lastly, this website template owes thanks to Sharon Zhang.