Eliza Harris

Eliza Harris

Sr. Scientist
Academia
(Alumni)

Eliza started at SDSC in March 2021, working as a Senior Scientist as part of the SDSC's academic team. She had previously worked as a postdoctoral researcher at the Massachusetts Institute of Technology (2012-2013), Empa (2013-2017), and the University of Innsbruck (2017-2020). Eliza had received her PhD in Atmospheric Science from the Max Planck Institute for Chemistry in 2012, and her Bachelor’s degree with Honours in Antarctic Science from the University of Tasmania in 2008. Her previous research had centered around the use of novel isotopic measurements and modeling approaches in atmospheric and biogeosciences, particularly the nitrogen cycle. Her research at SDSC was to focus on data analytics and machine learning approaches in environmental and natural sciences. Eliza's mission with SDSC ended in September 2024.

Projects

EXPECTmine

In Progress
Mining Toxicity and High Resolution Mass Spectrometry Data for Linking Exposures to Effects
Energy, Climate & Environment

ArcticNAP

Completed
Arctic climate change: Exploring the Natural Aerosol baseline for improved model Predictions
Energy, Climate & Environment

N2O-SSA

In Progress
Combining measurements, modeling and machine learning to improve N2O accounting for sustainable agricultural development in sub-Saharan Africa
Energy, Climate & Environment

MSEI

Completed
Molecular structure elucidation by integrating different data mining strategies
Energy, Climate & Environment

Publications

Boyd Pernov, J.; Harris, E.; Volpi, M.; Baumgartner, T.; Hohermuth, B.; Henne, S.; Aeberhard, W. H.; Becagli, S.; Quinn, P. K.; Traversi, R.; Upchurch, L. M.; Schmale, J."Pan-Arctic Methanesulfonic Acid Aerosol: Source regions, atmospheric drivers, and future projections"7166.01-18
Harris, E.; Gasser, L.; Volpi, M.; Perez-Cruz, F.; Bjelić, S.; Obozinski, G."Harnessing data science to improve molecular structure elucidation from tandem mass spectrometry"345.01935-1950

Mentioned in

November 6, 2023

Climate-smart agriculture in sub-Saharan Africa: optimizing nitrogen fertilization with data science

Climate-smart agriculture in sub-Saharan Africa: optimizing nitrogen fertilization with data science

Food insecurity in sub-Saharan Africa is widespread, with crop yields much lower than in many developed regions. The project aims to use laser spectroscopy to measure fluxes and isotopic composition of N2O from maize and potato crops subjected to a range of fertilization levels.

Case Studies

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