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Christine Donnelly

Staff Machine Learning Engineer at Postscript

Christine Donnelly has a diverse work experience. From 2011 to 2013, they were a MEMS Research Intern at Sandia National Laboratories, where they developed an experimental setup to perform surface photovoltage measurements on materials and used COMSOL to model surface acoustic wave resonators. From 2013 to 2015, they were a Photonics Research Scholar at Singapore University of Technology and Design (SUTD). During this time, they were also a Graduate Teaching Assistant (Quantum Mechanics) at Stanford University. In 2018, they were a Data Science Consultant at Colorado Mountain School. From 2015 to 2019, they were a Data Scientist at Postscript, eventually becoming a Senior Data Scientist. In 2019, they graduated from Stanford University with a PhD in Electrical Engineering.

Christine Donnelly attended Stanford University from 2012-2013, where they earned a Master of Science (M.S.) in Electrical and Electronics Engineering. Christine then continued their studies at Stanford University, earning a Doctor of Philosophy (PhD) in Electrical and Electronics Engineering in 2019. Prior to that, they earned a Bachelor of Science (B.S.) in Mechanical Engineering from Stanford University.

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