Auralee Walmer   |   Curriculum Vitae

Programmer | information designer | researcher | musician

Exploring the intersection of computation, humans, and sound.
Blending data, audio, and visuals for applications in communication and storytelling.


Highlights


Technical Skills


Professional Experience

Data Curator (Research Technician Lead)

University of Michigan | Remote

July 2024 — August 2026

Research Fellow

Reynolds Journalism Institute | Remote

May 2024 – Feb 2026

Research Associate

Georgia Institute of Technology | Remote

March 2023 – June 2024

Information Designer + Researcher

Freelance | Remote

June 2022 – June 2024

Data Scientist

Eli Lilly & Co | San Diego, California

August 2018 – July 2022

Research Associate

Stanford University & NBER | Accra, Ghana

March 2017 – February 2018

Assisted a development economics study (longitudinal, randomized controlled trial) measuring long-term impacts of a scholarship treatment on Ghanaian youth. Conducted econometric data analysis, monitored data collection, coded electronic surveys, and trained surveyors.

Research Assistant

Innovations for Poverty Action | Cusco, Peru

September 2016 – December 2016

Assisted a development economics study (randomized controlled trial) measuring the impact of an informational treatment on beliefs about education in Peru. Conducted data cleaning and analysis, monitored data collection in rural regions, coded electronic surveys, and trained surveyors.


Education

Stanford University

Master of Arts in Music, Science and Technology

Center for Computer Research in Music and Acoustics

2026 – 2028

Supplemental Coursework

Deep Learning for Music Information Retrieval | CCRMA Workshop at Stanford | 2026
Machine Learning Algorithms (CSE 151A) | University of California, San Diego | 2026
Web Design   •   Adobe Illustrator   •   Art History: Renaissance to Modern | MiraCosta College | 2022-24
Machine Learning with Python | Stanford University | 2021
Audio Engineering Intensive | Studio West | 2021

University of California, San Diego

Certificate in Machine Learning Methods | GPA 4.0

2018 – 2021

Courses: Linear Algebra for Machine Learning, Practicum for Deep Neural Networks, Probability & Statistics for Deep Learning, Data Science in R

University of California, Santa Cruz

B.A. in Economics & Mathematics, Minor in Politics

Magna Cum Laude | Major GPA 3.95

2011 – 2015


Presentations


Publications


Recognitions & Community


↑