Summary
Shaifali Parashar is a CNRS Research Scientist with eight years of experience in 3D reconstruction, deformable SLAM and mathematical material modelling, combining rigorous academic training (PhD in 3D Computer Vision) with applied research at EPFL and Clermont institutions. Her work focuses on modeling and reconstructing deformable objects, turning complex theory into robust algorithms for real-world sensing and mapping. She has a track record of postdoctoral research and industry experience in network design, giving her a practical systems perspective alongside deep modelling expertise. Based in Lausanne, she maintains an active public research profile and portfolio of recent projects at https://shaifaliparashar.github.io, signaling ongoing development and reproducible research practices.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), 3D Computer Vision, Material Modelling, Doctor of Philosophy (Ph.D.), 3D Computer Vision, Material Modelling at Université Blaise Pascal (Clermont-II) - Clermont-Ferrand
Master's Degree, Computer Vision, Master's Degree, Computer Vision at Université de Bourgogne
Bachelor's Degree, Information and Communication Technology, Bachelor's Degree, Information and Communication Technology at Dhirubhai Ambani Institute of Information and Communication Technology, India
English, French, Hindi