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howardhowiebaek has not earned any certificates yet.
Work Experience
Machine Learning Intern
NOAA: National Oceanic & Atmospheric Administration• June 2021 - September 2021
- Created an algorithm to automatically detect upwelling, an oceanographic process that has a significant impact on global fishery production. - Applied principal component analysis, k-means clustering, and hierarchical clustering to real-world image data to group patterns of upwelling. - Documented findings in a blog post that elaborates on past work in upwelling, the detection algorithm, and the significance of the visualizations. Blog post: http://insidethetv.rbind.io/post/2021-09-10-automatic-detection-of-upwelling/
NIH Research Assistant
Behavioral Research In Technology and Engineering (BRiTE) Center• September 2020 - June 2021
- Developed a Shiny Dashboard that allows patients and clinicians in addiction treatment to monitor patients’ progress and goals over time. - Implemented Plotly graphs that illustrate changes in patient-reported progress and goal measures over time. - Programmed a shinyMobile application of the dashboard for optimal viewing on a smartphone.
Educational Data Mining Intern
George Mason University Dept. of Computer Science• May 2018 - August 2018
- Analyzed four raw datasets from Stanford Lagunita course, Statistics in Medicine, in R by creating exploratory visualizations in ggplot2 and employing k-means clustering. - Built an interactive web application (Shiny Dashboard) that presented my analysis and visualizations. - Demoed this dashboard at the 9th International Learning Analytics and Knowledge (LAK) Conference to education professionals and academics.
Education
University of Washington, Washington
Biostatistics, MS• September 2021 - Present
Data Science Pathway
University of Washington, Washington
Statistics, BS• September 2017 - June 2021
Minor in Mathematics