Nishad Singhi

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Hey! I’m Nishad. Thanks for stopping by, and welcome to my webpage! :)

I am a graduate student at the University of Tübingen and the Max Planck Institute for Intelligent Systems (MPI-IS).

I am passionate about understanding the computational principles underlying human 🧠 and machine 🤖 intelligence, and applying them to real-world problems. My research has been awarded the 🏆 Best Paper Award at an ICLR 2023 workshop, and the Diversity and Inclusion Award at CogSci 2023.

During my time in Tübingen, I have been very fortunate to work in the labs of Wieland Brendel, Zeynep Akata, Kai-Wei Chang, Aditya Grover, Falk Lieder, Kou Murayama, and Michiko Sakaki.

Before this, I had a wonderful time as an undergraduate student at the Indian Institute of Technology Delhi, where I had the fortune of working with Sumeet Agarwal, Tapan Gandhi, and Sumitava Mukherjee.

Outside of work, I enjoy singing and playing the guitar, playing badminton, photography, and having good food (I am a massive masala dosa enthusiast!).

I’m always happy to meet new people. If you’d like to chat about anything/ collaborate, please reach out!

news

Jul 1, 2024 Our paper on Concept Realignment in CBMs is accepted to ECCV 2024. See you in Milan!
Mar 2, 2024 One paper accepted to the Re-align workshop at ICLR 2024!
Oct 4, 2023 Presented CleanCLIP as an Oral (Top 2%) at ICCV 2023!
Jul 26, 2023 Humbled to receive the prestigious Diversity and Inclusion Award from the Society for Cognitive Science, among just 10 worldwide!
Jul 26, 2023 Presented two first-author papers at CogSci 2023: our work on Automatic Subgoal Discovery as an Oral; and our work on Loss Aversion as a full paper!