Daniel Freeman is a skilled software engineer and researcher with extensive experience in artificial intelligence and quantum computing. Currently serving as a Member of Technical Staff at Anthropic since November 2023, Daniel previously held various positions at Google from January 2018 to October 2023, including Software Engineer, AI Resident, and Software Engineering Research Intern, focusing on neural networks and learning algorithms. Daniel holds a Ph.D. in Physics from the University of California, Berkeley, and has a strong background in teaching and research, having served as a Graduate Research Student Assistant under Birgitta Whaley, and as a Graduate Student Instructor for multiple courses. Additional experience includes contributions to the Berkeley Science Review, research at the Lawrence Berkeley National Laboratory, and undergraduate research at Texas A&M University, where Daniel obtained dual Bachelor of Science degrees in Physics and Mathematics.
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