Stanford University
Showing 701-710 of 2,691 Results
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Tianyang Guo (郭天阳)
Postdoctoral Scholar, Geological Sciences
BioDr. Tianyang Guo earned his Ph.D. degree in Rock Mechanics from the Department of Earth Sciences, the University of Hong Kong in 2020. He earned his bachelor's and master’s degree from Wuhan University (WHU) in 2013 and 2016, respectively. He was awarded the National Scholarship for Graduate in 2015 and graduated from WHU as an outstanding graduate. Before joining Stanford, he was a Postdoctoral Fellow in the Department of Civil and Environmental Engineering at the Hong Kong Polytechnic University (PolyU) under PolyU Distinguished Postdoctoral Fellowship Scheme 2021.
His research interests include (1) Cracking mechanisms and induced microseismicity during the injection of CO2 into reservoir rocks. (2) Application of machine learning in acoustic emission (AE) data interpretation. (3) Microcracking mechanisms of granite based on AE and microscopic observation. -
Pankaj Gupta
Postdoctoral Scholar, Neurosurgery
BioPankaj Gupta is a postdoctoral researcher at Stanford University working at the intersection of systems neuroscience, neuroengineering, and computational modeling. His research focuses on understanding how distributed neural circuits generate behavior and how these circuits reorganize during learning and recovery, particularly in the context of motor control and neurological disorders such as stroke.
Pankaj completed his Ph.D. at the University of British Columbia, where he investigated brain–behavior dynamics using widefield and two-photon calcium imaging in mice. His work combined experimental neuroscience with real-time closed-loop systems, enabling the modulation of neural activity through behaviorally contingent feedback. He also developed computational tools and biologically inspired recurrent neural network models to capture large-scale neural dynamics and inter-regional interactions.
At Stanford, his research expands to include large-scale electrophysiology using Neuropixels probes to study cerebellar and subcortical circuits involved in motor control and recovery. He is particularly interested in how neural populations across multiple brain regions coordinate and adapt following injury, and how these insights can inform the design of closed-loop neurostimulation and brain–machine interface systems.
