Applied machine learning in medical imaging: prostate and breast cancer detection, personal diagnosis from clinical and image (MRI) data, improve generalization of models. Applied machine learning in earth sciences: data assimilation in ocean models, nowcasting (precipitation and hail), short-term forecast of air pollution, loop current and eddy detection and analysis. Climate change: predicting future distribution of invasive insect pests considering climate change projections. Scientific Machine Learning: Physics Informed Neural Networks (PINNs) to improve parameterizations in Ocean Models, etc.
Education:
Ph.D., Computation Science, Florida State University, 2015 M.S., Computation Science, Florida State University, 2013
Please Email This email address is being protected from spambots. You need JavaScript enabled to view it. if any of the above information needs to be corrected/removed.
Olmo's Google Scholar Citations