Andrew Chen

Andrew Chen

UC Berkeley | Class of 2025
B.A. in Political Science
B.A. in Psychology
Minor in Data Science

Posts by Collection

portfolio

publications

research

Research Apprentice, Social and Moral Judgment Lab / Berkeley Haas Behavioral Lab (January 2022 - December 2022)

Responsibilities:

  • Conducted 200+ in-person experiments with pairs of participants, utilizing interactive Qualtrics surveys to investigate cumulative redundancy bias and the better-than-average effect on moral judgments in various economic and political contexts
  • Participated in weekly meetings with the lab’s principal investigators and fellow graduate and undergraduate members, offering feedback on the theoretical approaches, experimental designs, and analyses of quantitative and qualitative data in lab research
  • Applied the scientific method to answer complex questions related to the intersection of judgment and decision-making, consumer behavior, and social psychology

Lead Research Apprentice, Social and Moral Judgment Lab / Experimental Social Science Laboratory (June 2022 - April 2025)

Responsibilities:

  • Conducted 100+ in-person and virtual experiments with pairs of participants, exploring the impact of communication medium on social judgments of understanding, misarticulation, and personality traits within teacher-student learning scenarios
  • Contributed to weekly meetings with the lab’s principal investigators and fellow graduate and undergraduate members, offering feedback on the theoretical approaches, experimental designs, and analyses of quantitative and qualitative data in lab research
  • Secured departmental grant funding, gained institutional review board approval, and administered an online conjoint survey experiment as part of a self-directed quantitative study examining citizens’ perceptions of political candidates with disabilities
  • Applied the scientific method to answer complex questions in social psychology

Interim Manager, Social and Moral Judgment Lab (May 2023 - June 2023)

Responsibilities:

  • Coordinated the day-to-day operations of the lab and provided the principal investigators with regular updates on lab activity
  • Recruited, trained, and supervised four new and returning graduate and undergraduate research apprentices in conducting laboratory and field experiments
  • Oversaw the successful administration of two in-person experiments on political conflict and communication, adhering to IRB protocols and managing participant scheduling and payment requests for research apprentices via online subject pools

talks

teaching

Lab Assistant, DATA C8: Foundations of Data Science (Spring 2022)

Undergraduate Course, University of California, Berkeley: College of Computing, Data Science, and Society (CDSS), 2022

Responsibilities:

  • Assisted 45 students every week in lab with questions about discussion worksheets, Jupyter Notebook assignments in Python, projects, and other course materials in DATA C8
  • Met with a shadow Undergraduate Student Instructor (uGSI) throughout the semester to practice and reflect on personal pedagogy skills and professional development

Group Tutor, DATA C8: Foundations of Data Science (Fall 2022)

Undergraduate Course, University of California, Berkeley: College of Computing, Data Science, and Society (CDSS), 2022

Responsibilities:

  • Led two weekly group tutoring sections, reinforcing students’ understanding of course concepts with exam-style practice problems
  • Held semi-weekly office hours, monitored the online Q&A forum every day, graded assignments, and proctored and graded exams
  • Consulted with the lead instructors to practice effective pedagogy and refine course materials on a weekly basis
  • Received UC Berkeley People & Culture’s Campus Wide Staff Appreciation Award for “going above and beyond what is normally done”

Lead Facilitator, Berkeley Unboxing Data Science (BUDS) (Summer 2023)

Internship Program, University of California, Berkeley: College of Computing, Data Science, and Society (CDSS), 2023

Responsibilities:

  • Led a team of ten student interns from historically underrepresented backgrounds in STEM through a rigorous, hands-on enrichment program to develop their understanding of the computational approaches, applications, and possibilities of data science and data analytics on a personal and societal level
  • Mentored interns through individual projects implementing the data science life cycle, from gathering publicly available data to cleaning and critically analyzing the data in Jupyter Notebooks with Python to presenting their research findings
  • Collaborated with the two faculty directors to enhance the internship experience by transitioning from a remote to an in-person format and integrating external workshops featuring guest speakers from industry and academia
  • Mentored two associate group facilitators and met with them throughout the program to discuss effective pedagogy techniques and professional development

Lead Undergraduate Student Instructor, DATA 198: Foundations Scholars (Fall 2023)

Undergraduate Course, University of California, Berkeley: College of Computing, Data Science, and Society (CDSS), 2023

Evaluations:

Data Science Developer, Seamless Learning: Accessibility Workshop (Summer 2024)

Professional Development Workshop, University of California, Berkeley: College of Computing, Data Science, and Society (CDSS), 2024

Responsibilities:

  • Upgraded course materials to be compliant with WCAG 2.0 AA technical standards
  • Integrated accessibility checkers into content development pipelines (e.g., A11y and GitHub Actions) for various course materials (e.g., course webpages, lecture notes, PDFs, etc.)
  • Created accessibility evaluation reports for course resources that demonstrate compliance with campus requirements, facilitating any public posting of such resources
  • Migrated authentication platforms to use Canvas authentication
  • Created System Security Reports for custom course tools
  • Presented tools and results to campus faculty and staff in Statistics, Data Science, and Electrical Engineering and Computer Sciences

Reader, EPS 7: Introduction to Climate Change (Summer 2025)

Undergraduate Course, University of California, Berkeley: Department of Earth and Planetary Science (EPS), 2025

Responsibilities:

  • Reviewed asynchronous lecture recordings and course materials to provide constructive feedback on clarity, structure, and content updates
  • Evaluated and suggested improvements to homework assignments and exams to enhance student understanding and alignment with learning goals
  • Held regular virtual office hours to support students with course content, assignments, and general questions
  • Responded to student inquiries via email, providing timely assistance on course logistics and concepts
  • Communicated regularly with the course instructor to relay student feedback and propose revisions to course delivery

Supervisor, Berkeley Unboxing Data Science (BUDS) (Summer 2025)

Internship Program, University of California, Berkeley: College of Computing, Data Science, and Society (CDSS), 2025

Responsibilities:

  • Supervised a cohort of 14 high school interns from historically underrepresented backgrounds in STEM as they engaged in a rigorous, hands-on data science enrichment program
  • Mentored interns through individual projects spanning the full data science life cycle—from data acquisition and cleaning to critical analysis and final presentations—using Python in Jupyter Notebooks
  • Provided direct mentorship and professional development guidance to two group facilitators, supporting their leadership growth and facilitation skills throughout the program
  • Fostered a supportive, collaborative learning environment that emphasized exploration, equity, and real-world impact, while helping students build confidence in their technical and analytical skills
  • Collaborated with program directors and instructional staff to develop workshops, refine project milestones, and adapt programming based on intern needs and feedback
  • Served as a bridge between academic instruction and professional development, encouraging interns to see themselves as future leaders in data science and public impact work
  • Contributed to the broader mission of BUDS and CDSS to make data science education more inclusive, accessible, and socially conscious

Undergraduate Student Instructor, DATA 6: Introduction to Computational Thinking with Data Science and Society (Summer 2025)

Undergraduate Course, University of California, Berkeley: College of Computing, Data Science, and Society (CDSS), 2025

Responsibilities:

  • Taught weekly discussion sections and held office hours to support incoming first-year SEED Scholars—students from historically underrepresented backgrounds in STEM—during the six-week Summer Rising bridge program
  • Reinforced students’ understanding of Python programming, foundational data science principles, and the broader societal implications of computing through interactive instruction and personalized feedback
  • Collaborated closely with SEED program staff and instructional faculty to coordinate course logistics and align teaching with the program’s community-building and academic goals
  • Graded assignments and exams with attention to individual growth and equitable assessment practices
  • Managed Ed Discussion Q&A and responded to student emails to ensure accessible, timely academic support
  • Helped foster an inclusive and supportive classroom environment, promoting curiosity, confidence, and connection as students transitioned into university-level coursework