PhD student in Cognition & Perception
Department of Psychology
New York University
Research
I am passionate about developing machine learning systems capable of robust, general, human-like visual perception.
I have extensive experience in training and evaluating deep learning models, and am also proficient at designing and conducting online human psychophysics experiments. For deep learning, I have primarily used PyTorch and TensorFlow to train both discriminative and generative models (with PyTorch Lightning, Hugging Face Accelerate, Keras) and evaluate them (with ART, model-vs-human, pyrtools). I leverage tools such as lab.js and PsychoPy for human experiment design, and platforms like Prolific, Pavlovia, and Amazon MTurk for participant recruitment and data collection.
Turner, J. P. , Knight, J. C. , Subramanian, A. , Nowotny, TNeuromorphic Computing and Engineering, 2(2), 024002
Human Learning of Complex Novel Tasks as Theory-Based Modeling, Exploration, and Planning2023
Tsividis, P. , Loula, J. , Burga, J. , Rodriguez, J. P. , Arnaud, S. , Foss, N. , Campero, A. , Subramanian, A. , Pouncy, T. , Gershman, S. , Tenenbaum, J. BUnder Review in Philosophical Transactions of the Royal Society A.