CV

General Information

Full Name Amirhossein Farzmahdi
Location New York, NY

Education

  • 2021
    Ph.D. in Computational Neuroscience
    Institute for Research in Fundamental Sciences, Tehran, Iran
  • 2014
    M.Sc. in Electrical Engineering
    Amirkabir University of Technology, Tehran, Iran
  • 2010
    B.Sc. in Electrical Engineering
    Shahid Rajaee University, Tehran, Iran

Experience

  • Jan 2025 – Present
    Research Scientist
    Columbia University, Zuckerman Institute
    • Developed deep learning models to align internal representations with neural data.
    • Applied RSA and alignment methods to evaluate model interpretability.
    • Integrated neuroscience insights into biologically plausible AI systems.
  • Mar 2021 – Jan 2025
    Research Scientist
    Albert Einstein College of Medicine
    • Built probabilistic inference pipelines for high-dimensional neural data.
    • Applied statistical learning to model neural and image structures.
    • Led end-to-end research projects across modeling and analysis.
  • Oct 2018 – Feb 2021
    Research Assistant
    Rockefeller University
    • Studied symmetry-based invariance using CNNs and Vision Transformers.
    • Applied interpretability tools like RISE and Shapley metrics.
    • Contributed to dataset curation and empirical validation.
  • Sep 2015 – Oct 2018
    Research Assistant
    Institute for Research in Fundamental Sciences
    • Designed neural architectures for face recognition in primates.
    • Combined EEG and behavioral experiments to study visual flexibility.

Technical Skills

  • Modeling & Inference
    • Probabilistic and generative modeling, Bayesian inference, large-scale analysis
  • Neuroscience and Cognitive Science Methods
    • EEG, eye tracking, encoding models, RSA
  • Programming & Tools
    • Python, MATLAB, R; Git, LaTeX
  • Communication & Teaching
    • AI course co-instruction, mentoring, collaborative research