Sadegh Ebrahimi has a diverse work experience, starting in 2009 as a Teacher of Electronics at the National Organization for Development of Exceptional Talents (Sampad). In 2013, they worked as an Intern in Computer Architecture at Rambus. From 2017 to 2017, Ebrahimi was a Software Engineer at Oracle, where they contributed to a research project on event clustering. Sadegh then joined Stanford University as a Postdoctoral Scholar in AI and Neuroscience from 2019 to 2021. In 2021, they worked at The Feinstein Institutes as a Neural Engineer and Researcher. Following that, Ebrahimi joined Neuvotion, Inc. in 2021 as the Lead Software and AI Engineer. Currently, they are employed at Synchron as a Senior Machine Learning Engineer focusing on Brain-Computer Interface (BCI) technology.
Sadegh Ebrahimi has an impressive education history in the field of Electrical Engineering. Sadegh started their academic journey at Sharif University of Technology from 2008 to 2012, where they obtained a Bachelor's Degree. Sadegh then pursued their Master's Degree at Stanford University from 2012 to 2015, specializing in Electrical Engineering. Continuing their studies at Stanford, Sadegh earned their Doctor of Philosophy (Ph.D.) in Electrical Engineering from 2015 to 2019.
In addition to their academic achievements, Sadegh has also obtained a certification in Blackrock Neurotech Neural Recording/Stimulation Training from Blackrock Neurotech in June 2022.
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