Vaibhav Dixit is a focused researcher and engineer with extensive experience in optimization and scientific machine learning. Currently serving as a Research Assistant at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) from September 2023 to June 2025, Vaibhav is developing efficient methods for non-linear and non-convex optimization problems and is the primary developer for the Optimization.jl package. Vaibhav has also been a member of the Steering Committee at SciML since May 2018, contributing to scalable software for interdisciplinary applications. Previous roles include Student Developer for Google Summer of Code, Websim Research Consultant at WorldQuant, and Software Engineer at Julia Computing, where work focused on products for the pharmaceutical sector in collaboration with Pumas-AI. Vaibhav's educational background includes a Master of Science in Computational Science and Engineering from the Massachusetts Institute of Technology (MIT) and an Integrated Dual Degree in Mathematics and Computing from the Indian Institute of Technology (Banaras Hindu University).
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