Center for Long-Term Cybersecurity
Mahmoud Hamsho is a data scientist researcher at the Center for Long-Term Cybersecurity and a recent Master of Information Management and Systems graduate from the School of Information at UC Berkeley. His research interests include machine learning ethics and cybersecurity. Mahmoud has worked as a Data Scientist Intern at an IoT security startup building deep models for predictive maintenance. Currently as a researcher for the California Statewide Database, he is developing automated workflows to perform data quality checks and designing tools to lower the barrier to participating in California redistricting. He received his B.S. in Physics from Brooklyn College in 2015 and is currently a joint-fellow with the Center for Technology, Society, and Policy, Center for Long-Term Cybersecurity, and Algorithmic Fairness and Opacity Working Group.