Work with thought leaders and academic experts from Indian Statistical Institute

Shion Guha is an accomplished scholar and researcher in the field of Information Science and Statistics. He earned his Ph.D. from Cornell University in 2016, after completing his M.S. in Information Science from the same institution in 2014. Prior to that, he obtained an M.S. in Information Science from the Indian Statistical Institute in 2010. Dr. Guha's research focuses on the intersection of information science and statistics, with a particular interest in data mining and machine learning. He has published numerous articles in top journals and presented his work at international conferences. His research has also been funded by prestigious organizations such as the National Science Foundation. In addition to his academic achievements, Dr. Guha has also gained valuable teaching experience. He has served as an Assistant Professor at both the University of Toronto and Marquette University, where he taught courses on data mining, information retrieval, and statistical methods. Dr. Guha is highly regarded by his colleagues and students for his expertise, dedication, and passion for his field. He continues to push the boundaries of information science and statistics through his research and teaching, and is a valuable asset to any academic institution.

I am a lecturer at the University of California, Davis, teaching undergraduate students in physics and engineering basic and advanced physics. I also collaborate with several experimental and theory groups in condensed matter physics all over the globe focussing on critical phenomena, quantum magnetism, topological materials, transport properties, and driven quantum systems. My current interests lie in Hilbert Space fragmentation and associated critical phenomena for systems with subsystem symmetries. Additionally, I use the numerical linked cluster expansion to study heavy fermion compounds of interests to groups in John's Hopkins and Princeton Universities.

Structural Geologist