Buz Galbraith
About Buz Galbraith
Buz Galbraith is a Graduate Research Assistant currently working at NYU Langone Health, The London School of Economics and Political Science, and NYU Center for Data Science.
Current Positions as Graduate Research Assistant
Buz Galbraith currently holds the position of Graduate Research Assistant at both NYU Langone Health and The London School of Economics and Political Science (LSE). At NYU Langone Health, Galbraith has been active in this role since 2022, contributing to research projects in the New York City Metropolitan Area. Simultaneously, he works in a virtual capacity for LSE, also starting in 2022, participating in various research activities.
Previous Research and Industry Experience
Galbraith has amassed a range of research and industry experience. His tenure includes positions like Risk Analysis Intern at Hubbell Realty Company and Research Assistant at New Breukelen in 2021. Notably, he worked as a Mathematics Grader at Courant Institute of Mathematical Sciences for a year. Other roles include Data/Research Intern at Monument Group and International Fellow at Bank Central Asia Securities.
Early Internship and Counselor Experience
Buz Galbraith's early career involved internships and counselor positions starting in 2014. These roles include an internship at Stine Seed Inc. and serving as a Day Camp Counselor at Quogue Field Club Inc. in 2014. These positions provided foundational skills and experiences useful for his later roles in both research and data analysis.
Educational Background in Data Science and Economics
Galbraith's educational background is firmly rooted in data science and economics. He earned his Bachelor's degree from New York University, studying Data Science Economics & Mathematics from 2018 to 2022. Following this, he pursued a Master of Science degree at NYU Center for Data Science, focused on Data Science, set to complete in 2024.
Technical Expertise in Data Visualization and Computing
Buz Galbraith collaborates with various researchers, utilizing Git for code management within the realm of computer vision research. He is skilled in presenting research findings through the use of Tableau and Python data visualization tools. Additionally, he works with a Linux-based High-Performance Computing (HPC) Cluster to support his research efforts.