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Rahul Sarkar

Rahul Sarkar

Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2017
MS, Stanford University, Computational and Mathematical Engineering (2017)
Integrated BS and MS, Indian Institute of Technology, Kharagpur, Geophysics (Major), Physics (Minor) (2011)

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I was born and brought up in India, where I completed my undergraduate education. Upon graduation, I joined Schlumberger and worked on high-end imaging applications in USA and Mexico. After spending 4 years in the industry, I decided to return to graduate school and completed a Masters in Computational and Mathematical Engineering at Stanford university in 2017. I'm currently a Ph.D graduate student in the same department, with my primary interests in convex and non-convex optimization.