CV
General Information
Full Name | Amirhossein Farzmahdi |
Location | New York, NY |
Education
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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
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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.
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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.
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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.
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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
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Modeling & Inference
- Probabilistic and generative modeling, Bayesian inference, large-scale analysis
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Neuroscience and Cognitive Science Methods
- EEG, eye tracking, encoding models, RSA
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Programming & Tools
- Python, MATLAB, R; Git, LaTeX
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Communication & Teaching
- AI course co-instruction, mentoring, collaborative research