Shanshan Qin

Shanshan Qin is an Associate Professor in the School of Physics and Astronomy at Shanghai Jiao Tong University. Her research focuses on computational neuroscience and biophysics, integrating statistical physics, dynamical systems, machine learning, and information theory to study neural computation. She investigates how the brain processes information, stores memories, and supports adaptive behaviors. Qin has published extensively in top-tier journals, including Nature Neuroscience and Physical Review E. She has held positions at the Flatiron Institute and Harvard University, and her work emphasizes the principles of neural computation across systems. She seeks motivated candidates for PhD, postdoctoral, and research assistant roles.

Shanshan Qin is an Assistant Professor at Shanghai Jiao Tong University, specializing in theoretical and computational neuroscience, quantitative and systems biology, and biophysics. Her research explores the neural mechanisms underlying sensory processing, olfactory behavior, and neuronal representation learning. Qin's work includes studies on olfactory perception in Drosophila, functional imaging of neuronal responses, and the role of internal states in sensory processing. She also investigates computational models of neural networks, such as Hebbian/anti-Hebbian models and compressed sensing strategies. Her research integrates theoretical frameworks with experimental data to uncover the principles governing neural computation and systems biology.