Shruti Joshi is a PhD student at Mila specializing in causal representation learning and deep learning theory, with a decade of experience bridging research and production systems. Her work spans data-efficient representation and reinforcement learning for real-time robotic systems, developed during roles at MPI-IS where she was a research programmer and guest researcher. She has collaborated with industry research labs including ServiceNow and completed internships at University of Michigan and IIM Bangalore, demonstrating versatility across academic and applied settings. Trained as an electrical engineer at IIT Kanpur and pursuing advanced studies at Université de Montréal/Mila, she combines rigorous theoretical interests with hands-on system building for robots. Notably, she contributes to representation learning research at Mila-IQIA and maintains an up-to-date publication record on Google Scholar.
10 years of coding experience
2 years of employment as a software developer
Master's degree, Master's degree at Mila - Quebec Artificial Intelligence Institute
Master's degree, Computer Science, Master's degree, Computer Science at Université de Montréal
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Shruti Joshi - PhD Student In Causal Representation Learning