Sumit Singh

Sumit Singh is a professional with over nine years of experience in computational modeling, specializing in the semiconductor and automotive sectors. Currently at Applied Materials, Sumit leads simulations related to flow, thermal, stress, and chemical processes while developing digital twins and machine learning-based reduced-order models. Sumit has a strong background in multiphysics modeling and expertise in Python and TensorFlow, alongside a history of patent holdings in semiconductor equipment design and several academic research publications. Prior experience includes roles at Faurecia and Lam Research, among others, as well as a teaching assistantship at the Indian Institute of Technology, Gandhinagar. Sumit earned a Bachelor of Engineering in Mechanical Engineering from Viva Institute of Technology and a Master of Technology in Mechanical Engineering from the Indian Institute of Technology, Gandhinagar.