Teaching
As an undergraduate student, I was a member of the teaching staff for DATA C8: Foundations of Data Science and related courses/programs.
DATA C8 is a course at UC Berkeley that teaches students of all majors and statistics/computer science backgrounds the core concepts of inference and computing while working hands-on with real data. For my contributions, I was a recipient of the Outstanding Graduate Student Instructor (
OGSI) Award in
Data Science.
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
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 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
Undergraduate Course, University of California, Berkeley: College of Computing, Data Science, and Society (CDSS), 2024
Evaluations:
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
Undergraduate Course, University of California, Berkeley: College of Computing, Data Science, and Society (CDSS), 2024
Evaluations:
Undergraduate Course, University of California, Berkeley: College of Computing, Data Science, and Society (CDSS), 2024
Evaluations:
Undergraduate Course, University of California, Berkeley: College of Computing, Data Science, and Society (CDSS), 2023
Evaluations:
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
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”
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
