Alex Farhang

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Research   I’m a PhD candidate at Caltech advised by Professor Yisong Yue. My work focuses on machine learning methods for agentic behavior, including humanlike gameplay in video games and large language model agents for scientific programming.

I am a National Science Foundation Graduate Research (NSF GRFP) Fellow and a Chen Graduate Fellow. I was a Research Intern at Epic Games, advised by Iain Matthews, where I worked on machine learning for video games.

Previous   I graduated from Cornell University where I studied neuroscience and behavior. My thesis work with Professor Jesse Goldberg was awarded the Robert R. Capranica Award for the outstanding honors thesis in neuroethology. I then worked with Professor Evan Feinberg at UCSF on sensorimotor computation and Professor Doris Tsao on models for object perception in the brain.

news

Oct 10, 2025 Our work using LLM agents for writing scientific preprocessing code for biological image processing was presented at the COLM LM4SCI workshop (paper)
May 29, 2024 Our work using transformers for agent control in video games was accepted at the IEEE Conference on Games (CoG): Humanlike Behavior in a Third-Person Shooter with Imitation Learning
Jul 07, 2022 Our paper Investigating Generalization by Controlling Normalized Margin was accepted at ICML
May 23, 2022 I’m beginning a research internship at Epic Games with Iain Matthews

selected publications

  1. IEEE CoG
    Humanlike Behavior in a Third-Person Shooter with Imitation Learning
    A. R. Farhang, B. Mulcahy, D. Holden, I. Matthews, and Y. Yue
    IEEE Conference on Games (CoG), 2024
  2. ICML
    Investigating Generalization by Controlling Normalized Margin
    A. R. Farhang, J. Bernstein, K. Tirumala, Y. Liu, and Y. Yue
    International Conference on Machine Learning (ICML), 2022