Daniel Liu is a Data Science undergraduate and Schreyer Honors student at Penn State, currently interning as a Data Analyst at Lumen Technologies while conducting research on AI explainability, nationality bias in LLMs, and learning design. He balances hands-on analytics and teaching—serving as an undergraduate TA for multiple data science and AI courses—while contributing to research projects advised by faculty in security and educational technology. Focused on medical imagery and explainable AI, he brings an educator’s mindset to building interpretable models and studying social networks in online learning. With eleven years of experience in technical pursuits and a personal ethos captured by “Code is my Coke,” he pairs practical coding instincts with curiosity-driven research and a track record of mentoring peers.
11 years of coding experience
Bachelor of Science (BS), Data Science, Minor in Education and Public Policy, Bachelor of Science (BS), Data Science, Minor in Education and Public Policy at Schreyer Honors College at Penn State
Bachelor of Science (BS), Data Science, Minor in Education and Public Policy, Bachelor of Science (BS), Data Science, Minor in Education and Public Policy at Penn State University
High School Diploma, High School Diploma at State College Area High School
Contributions:2 commits, 2 pushes, 1 branch in 3 months
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