Ifdita Hasan Orney

I am a CS Master's student at Stanford University. Previously, I did my undergraduate in CS at Stanford University. My research is currently advised by Prof. Dorsa Sadigh and Prof. Chelsea Finn. I work in artificial intelligence with a focus on reinforcement learning and human-centered AI. I also mentor high schoolers and undergrads curious about research - if you would like to chat, pls fill out the form.

Email  /  Github  /  Google Scholar

I am interested in sequential decision making using RL. More specifically, I am interested in exploration and sample-efficient RL fine-tuning. I am also interested in building adaptive, feedback-driven models with an eye on applications such as in education and personalized learning.

(*) denotes corresponding author

• SPIRAL: Learning to Search and Aggregate.
  Jubayer Ibn Hamid*, Ifdita Hasan Orney*, Michael Y. Li, Omar Shaikh, Yoonho Lee, Dorsa Sadigh, Chelsea Finn, Noah Goodman.
  Ongoing Work
  (Preprint)

• Poly-EPO: Training Exploratory Reasoning Models.
  Ifdita Hasan Orney*, Jubayer Ibn Hamid*, Shreya Ramanujam, Shirley Wu, Hengyuan Hu, Noah Goodman, Dorsa Sadigh, Chelsea Finn.
  In Submission
  (Paper) (Code)

• Polychromic Objectives for Reinforcement Learning.
  Jubayer Ibn Hamid*, Ifdita Hasan Orney*, Ellen Xu, Chelsea Finn, Dorsa Sadigh.
  International Conference on Learning Representations (ICLR), 2026.
  (Paper)

• Can LLM-Simulated Practice and Feedback Upskill Human Counselors? A Randomized Study with 90+ Novice Counselors.
  Ryan Louie*, Ifdita Hasan Orney, Juan Pablo Pacheco, Raj Sanjay Shah, Emma Brunskill, Diyi Yang.
  Proceedings of the CHI Conference on Human Factors in Computing Systems, 2026.
  (Website) (Paper)
  (Honorable Mention Award)

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