Athena Dai is an accomplished academic and professional with extensive experience in data science, machine learning, and teaching. As a Teaching Assistant at Carnegie Mellon University, Athena guided projects utilizing AI for advanced research topics and contributed to curriculum development for Generative AI courses. Previous roles include conducting statistical analyses on COVID interventions as an Undergraduate Research Assistant and performing data modeling on smartphone usage in a health lab. Additionally, Athena has interned at Meta, enhancing ad transparency, and worked on biomarker experiments at Dongguan Bosh Biotechnologies. With a Bachelor of Science and ongoing Master of Science studies at Carnegie Mellon University, Athena possesses a strong foundation in programming and tutoring, specializing in Python and introductory AI concepts.
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