Hassan Obeid

Hassan Obeid is a dedicated PhD Candidate at UC Berkeley College of Engineering, specializing in causal inference, statistics, and machine learning for modeling human behavior in transportation systems. His academic background includes a Master's and Bachelor's degree in Engineering from UC Berkeley and American University of Beirut, respectively.

Apart from his engineering expertise, Hassan also delves into the business and managerial domain. He has pursued MBA courses at the Haas School of Business, focusing on entrepreneurship and effective leadership. His practical experience includes managing small and mid-size projects during his tenure in consulting roles.

With a distinctive academic journey and professional background, Hassan's skills encompass causal inference, machine learning, experimentation, heterogeneous treatment effects, applied econometrics, and discrete choice modeling. His industry experience ranges from data science internships at Airbnb, research science roles at Lyft and UC Berkeley, to project management and transportation planning engagements at Fehr & Peers.

Hassan's dedication to academia and hands-on industry experience position him as a versatile professional adept at merging technical expertise with managerial acumen, making him a valuable asset in complex projects involving human behavior modeling and transportation systems optimization.