Polina G.
Research Assistant @Lamont-Doherty Earth Observatory
Signup · Get unlimited contacts
WORK HISTORY
Research Assistant @Lamont-Doherty Earth Observatory
Palisades, NY, US
Developed machine learning calibration models (MLR, XGBoost, GMR) for low-cost air-pollution sensors, boosting measurement accuracy by up to 90%• Applied Python and scientific data analysis techniques to process and visualize urban air pollution (PM₂.₅, PM₀.₁, NOₓ and O₃) time-series data in the tri-state region• Used non-negative matrix factorization to ascertain air pollution sources and quantify PM levels• Evaluated the impacts of the Central Business District Tolling Program (CBDTP) on air quality across all five boroughs using a difference-in-differences regression approach
EDUCATION
International School of Helsinki
International Baccalaureate Diploma, Middle Years Program (MYP)
Columbia University
Bachelor's degree, Computational Biology, Minors in Statistics and Science & Society
Columbia University
Master's degree, Statistics
ABOUT POLINA G.
I am currently a senior at Columbia University studying computational biology and completing an accelerated master\'s degree in statistics. Through my coursework and research experiences, I have developed a strong background in data analysis, probabilistic modeling, and quantitative thinking. I am particularly interested in the applications of data science and statistics to public health, biophysics, climate science, environmental justice, and other areas that emphasize spatial and time-series methods.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.