Data Scientist at Rutgers University Department for Marine and Coastal Sciences for the Offshore Wind Program.
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My work for this project included the validation of the Rutgers University Center for Ocean Observing Leadership (RUCOOL) Weather Research and Forecasting Model (WRF). This is a model designed for weather predictions and simulations when given certain parameters. This WRF model needed to be trained and validated, to do this we compared the readings of observational points within WRF's range to its outputs for the variables it shared.
OCEANS 21 San Diego - Porto Paper
OCEANS 21 San Diego - Porto Paper
OCEANS21_paper_final_JadenD.pdf
My analysis was originally based entirely in Matlab, early on our team decided to move to python as it was an easier tool to use and share with other people in the scientific field and we know of the importance of sharing our findings and data with others.
My analysis was originally based entirely in Matlab, early on our team decided to move to python as it was an easier tool to use and share with other people in the scientific field and we know of the importance of sharing our findings and data with others.
Python working hand in hand with our inhouse and campus High Processing Computers allowed me to branch out and look into larger datasets and timelines for our analysis. This was crucial to our research as we were working with spatial data across a large grid with multiple variables for several years.
Python working hand in hand with our inhouse and campus High Processing Computers allowed me to branch out and look into larger datasets and timelines for our analysis. This was crucial to our research as we were working with spatial data across a large grid with multiple variables for several years.
I was the principle data scientist on this project and was in charge of not only day to day analysis but long term research into some of the more challenging questions we faced with our model. I was also in charge of automating certain figures and statistics to run in real time with our model so they were available on demand to our professors and anyone else who might want to use them.
I was the principle data scientist on this project and was in charge of not only day to day analysis but long term research into some of the more challenging questions we faced with our model. I was also in charge of automating certain figures and statistics to run in real time with our model so they were available on demand to our professors and anyone else who might want to use them.
I worked closest with our Director of Atmospheric Research, Dr. Joseph Brodie. Towards the end of my time at this position I had been writing papers, automating complex scripts for weekly, monthly, yearly, and seasonal analysis and contributing to others papers and publications.
I worked closest with our Director of Atmospheric Research, Dr. Joseph Brodie. Towards the end of my time at this position I had been writing papers, automating complex scripts for weekly, monthly, yearly, and seasonal analysis and contributing to others papers and publications.
Sargassum Seaweed Project for CARICOOS Project
Sargassum Seaweed Project for CARICOOS Project
Sargassum Poster.pdfPage updated
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