Ana Comesana
Ana Comesana is a Scientific Engineering Associate at Lawrence Berkeley National Laboratory. She is a data scientist who conducts applied machine learning research to support projects in a variety of areas, including water treatment, energy management, and bio-jet fuel research. Ana received her B.S. in Mathematics from UC Berkeley.
Sessions
Aviation comprises 2-3% of global CO2 emissions. Transitioning to cleaner, more sustainable aviation fuels can reduce its environmental impacts. To help accelerate sustainable aviation fuel development, we trained machine learning models to predict fundamental properties of biofuel blends using Fourier transform infrared (FTIR) spectra. We leveraged TPOT and standard libraries like NumPy, pandas, and scikit-learn to develop the models. This presentation will discuss how we overcame challenges with decomposing FTIR spectra data and using machine learning on small datasets (<100 samples). We will also discuss integration of the models into our open-source webtool to support biofuel research.