Serve as a liaison between DERS members, faculty, and alumni. Assist in organizing and facilitating meetings, coordinating events, and securing funding for economic research initiatives, seminars, and department activities such as distinguished guest lectures to enhance engagement and learning.

Work on The Dartmouth Professor in Economics Erzo Luttmer’s team to value human lives based on respondents’ choice between vignettes of life stories where life-time income and age of death are randomized. Create literature reviews, test survey data to ensure randomizations are implemented correctly and that respondent responses are coded accurately, produce high-quality exhibits based on data analyzed by Professor Luttmer or other senior members of the research team, and help proofread, edit, and format the paper.

First author studying whether healthcare consolidation leads to better care or just higher costs with the same, or worse, health outcomes. Use Python, Slurm, and Stata to analyze insurance claims, payment data, and patient care quality metrics.

Invited alongside a select few by the chair of the music department to participate in Dartmouth’s pilot program as an advanced student pianist to provide private piano lessons and accompaniment to members of the Dartmouth community who wish to learn how to play piano or perform chamber music pieces.

For a class of 90 students, I grade problem sets, exams, and hold weekly office hours for students to drop in and ask questions about the course material.

(Worked from Sep 2023 to Nov 2023 as well). Hired from the Dartmouth Piano Exchange to become a teaching assistant for MUS 1. Hold weekly half-hour private piano lessons for ten students and one hour long office hours to answer any music theory or piano related questions. Teach both beginners and intermediate level pianists how to develop their technique, dynamic expression, dexterity, and musical performance.

Worked in Assistant Professor Xin Qi’s Qi Lab at Dartmouth and collaborated with pharmaceutical companies to develop antibodies to target Interleukin-33, a protein in the IL-1 family of cytokines known to be associated with various inflammatory and allergic conditions. Analyzed data by utilizing RCSB, VMD, Pymol, and AlphaFold to visualize and analyze the structure of antibodies targeting Interleukin-33, then used GROMACS, Slurm, and Python to perform molecular dynamic simulations for data analysis and studying of their properties and binding efficacy to Interleukin-33.