Deepak Nathani
Hello! I am Deepak Nathani. I am currently a 2nd year PhD student at UC, Santa Barbara advised by Prof. William Wang in the UCSB NLP lab. My research interests lie broadly in the areas of Natural Language Generation and Commonsense Reasoning. Recently, I have been interested in automated feedback generation to boost reasoning performance in LLMs.
In the past, I have worked as a Pre-Doctoral Researcher at Google Research, India with Dr. Partha Talukdar. At Google, I worked on Controllable Text Generation and Conversational AI. I have also worked as a Software Engineering AMTS at Salesforce.com.
I graduated from IIT Hyderabad with a B.Tech degree in Mechanical Engineering and Computer Science as my second major. During my time as an undergraduate, I worked on various research problems with Dr. Manohar Kaul.
Among other things, I enjoy playing games, listening to music, reading books and most important of them all, I love food. 
contact
Graduate Admissions and Research Guidance: Need advice on starting in NLP/ML research or navigating graduate admissions? Connect with me through the CARE Program. I am happy to help.
Research Collaborations: Interested in discussing interesting research directions or potential collaborations? I’d love to hear from you. Let’s schedule a time to talk. Please book a slot on my calendar and I will get back to you.
General Queries: For any other questions or if you’re unsure where your query fits, feel free to reach me via email or X/Twitter.
Looking forward to connecting with you and sharing ideas!
news
| Apr 17, 2024 | I will join the GenAI team at Meta London as a Research Scientist Intern starting in June! |
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| Oct 7, 2023 | Our paper titled MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models will appear at EMNLP 2023. Details coming out soon! |
| Sep 25, 2023 | Completed my Summer Internship at Amazon Web Services (AWS) AI labs under the supervision of Xing Niu, Shuoyang Ding and Prashant Mathur. |
| Nov 25, 2022 | I am looking for summer research internships in 2023. If you think I will be a good fit for your team, let me know! |
| Sep 29, 2022 | I have started my PhD at University of California, Santa Barbara NLP group. I will be working with Prof. William Wang. |
| Dec 20, 2019 | Our paper titled “Few-Shot Learning on Graphs via Super-Classes Based on Graph Spectral Measures” accepted as a Poster Presentation at ICLR 2020! Paper is available here. |
| Oct 7, 2019 | Our paper titled “A Persistent Homology Perspective to the Link Prediction Problem” accepted as a Poster Presentation at Complex Networks 2019! Link. |
| Jul 12, 2019 | The blog for our ACL 2019 paper is now available here. |
| Jun 5, 2019 | Arxiv Preprint and code is now available for our ACL 2019 paper. |
| May 14, 2019 | Our paper titled “Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs” accepted as long paper at ACL 2019! Paper and code coming soon! |