I am an incoming PhD student in the Data Science Department (HDSI) at UC San Diego, advised by Prof. Babak Salimi and Prof. Biwei Huang. My research interests broadly focus on trustworthy machine learning (data attribution, memorization, causality). I hold Bachelor’s and Master’s degrees in Electrical Engineering from IIT Delhi and UC San Diego, respectively.

Publications

• TOKENSWAP: A Lightweight Method to Disrupt Memorized Sequences in LLMs
  Parjanya Prashant¹, Kaustubh Ponkshe¹, Babak Salimi
  Under Review
  ¹Equal contribution
  [Paper]
  

• Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders
  Parjanya Prashant, Seyedeh Baharan Khatami, Bruno Ribeiro, Babak Salimi
  International Conference on Artificial Intelligence and Statistics 2025
  [Paper]
  

• Differentiable Causal Discovery For Latent Hierarchical Causal Models
  Parjanya Prashant, Ignavier Ng, Kun Zhang, Biwei Huang
  International Conference on Learning Representations 2025
  [Paper]
  

• Crop Yield Prediction of Indian Districts Using Deep Learning
  Parjanya Prashant, Kaustubh Ponkshe, Chirag Garg, Ishan Pendse, Prathamesh Muley
  International Conference on Image Information Processing 2021
  [Paper]
  

Miscellaneous

1. Enjoy competitive debating and am an active member of IIT Delhi DebSoc.
2. Huge cricket fan; Shane Warne is the GOAT!
3. Love watching all sorts of documentaries, favourites being BBC’s Planet Earth and Nat Geo’s Air Crash Investigation.