Kowndinya Renduchintala

Hey there! I am an incoming MS student (starting Spring 2027) at NYU Courant Institute School of Mathematics, Computing, and Data Science, where I plan to continue working on:

• Advancing our scientific understanding of language models, and leveraging the insights to train better models that are more robust, interpretable and generalizable.
• Using insights from human cognition to build better AI, and using AI (e.g., interpretability methods) to learn more about human cognition.

Before NYU, I spent 3+ years as a Research Associate at Adobe’s Media and Data Science Research (MDSR) Lab, where my research explored efficient pre-training, data mixtures for post-training, prompt sensitivity, alternative loss functions for instruction tuning, and uneven formal linguistic competence in language models.

Before Adobe, I graduated from the Indian Institute of Technology Bombay (IIT Bombay) in 2023, with a Bachelor’s degree (with Honors) in Computer Science and Engineering, where I was advised by Prof. Ganesh Ramakrishnan and Prof. Rishabh Iyer.

My long-term research goal is to develop Provably Beneficial Artificial Intelligence.

If you share an interest in these topics and would like to exchange research ideas, please do not hesitate to contact me via e-mail.