Sarah Mohamed is a software engineer at MathWorks, working on deep learning in the Statistics and Machine Learning group. Her team builds tools that enable scientists and engineers to exchange deep neural networks between MATLAB and other tools, such as PyTorch, ONNX™, and TensorFlow™. She has also worked as an application support engineer, helping customers to investigate and overcome technical challenges in their own machine and deep learning applications. Sarah holds dual bachelor’s degrees in computer science and biology from the University of Virginia, and a master’s degree in computational science and engineering from Harvard University. Sarah loves teaching and building tech that empowers women to tackle tough problems in fun and engaging ways. She delivered the interactive virtual workshop “Do You See What I See? Using AI and AR” at vGHC 20, Women in Data Science (WiDS) 2021, and Open Data Science Conference (ODSC) East 2021. She also delivered the workshop “Pocket AI and IoT” in-person at GHC 19.