Anisha Gunjal

I am a master's student in Computer Science at UT Austin advised by Prof. Greg Durrett. I research with the TAUR Lab on topics of Natural Language Processing such as Commonsense Reasoning and Information Extraction.

Previously, I was a Visiting Scholar at Cognitive Learning for Vision and Robotics Lab (CLVR) at University of Southern California, advised by Prof. Joseph Lim. I also worked as the Lead Machine Learning Engineer of Documents AI at HyperVerge, Inc. I did my undergrad in Computer Science at Pune Institute of Computer Technology.

Beyond the research world, I love traveling, salsa dancing and capturing the adventures of my dogs!

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My research interest is to build machines that perceive information from environments like humans do. I am interested in multimodal learning at the intersection of Natural Language Processing, Computer Vision and Reinforcement Learning. I am also interested in other aspects of human-like learning such as natural language understanding and commonsense reasoning.

Investigation of using task information for learning representations for RL in visually complex scenes.

Joint modeling of text and layout information using transformers for Visual Question Answering on unstructured documents.

Contrastive Learning on retinal images for determining the stage of Diabetic Retinopathy disease progression on a small sized medical image dataset.

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