Mahmoud Hamsho is a Master of Information Management and Systems student at UC Berkeley focusing in Data Science. 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. .