William may

R&D Associate at NYS center of excellence in Weather and climate analytics

Education:

Bachelor of Science (B. S.) in Economics with a minor in Math from the University at Albany (UAlbany), State University of New York (SUNY Albany)

Relevant Experience:

  • 2 years working as a research assistant for UAlbany’s Project Petition research group, studying social media and online petitions. Organized SQL databases of social media and petition data, created data visualizations, and wrote code for text, network, and regression analyses.

  • 2 years working at the ASRC’s xcite software lab. Wrote software and developed statistical procedures for analyzing data from new weather instruments, with a focus on wind lidars. Created interactive web apps for viewing NYS Mesonet instrument data and air quality simulation results.

  • 3 years working as a data manager and statistician for the ASRC’s air quality research group. Wrote an R software package for cleaning experimental air chemistry data. Improved methods for automated outlier detection and instrument calibration. Created an interactive web app to assist with data quality flagging. Advised grad students on statistics and programming issues.

Areas of Expertise:

  • Statistical programming and data visualization, especially in R

  • Databases and data management

  • Statistical modeling and machine learning

  • Economics and public policy

Current Project:

  • Improving/redesigning COE data visualizations, with a focus on interactive web visualizations

Publications:

  • Hagen, Loni, Teresa M. Harrison, Özlem Uzuner, William May, Tim Fake, and Satya Katragadda. “E-Petition Popularity: Do Linguistic and Semantic Factors Matter?” Government Information Quarterly 33, no. 4 (October 1, 2016): 783–95. https://doi.org/10.1016/j.giq.2016.07.006.

  • Harrison, Teresa M., Catherine Dumas, Nic DePaula, Tim Fake, Will May, Akanksha Atrey, Jooyeon Lee, Lokesh Rishi, and S. S. Ravi. “Exploring E-Petitioning and Media: The Case of #BringBackOurGirls.” Government Information Quarterly 39, no. 1 (January 1, 2022): 101569. https://doi.org/10.1016/j.giq.2021.101569.

  • Przybylo, Vanessa M., Kara J. Sulia, Carl G. Schmitt, Zachary J. Lebo, and William C. May. “The Ice Particle and Aggregate Simulator (IPAS). Part I: Extracting Dimensional Properties of Ice–Ice Aggregates for Microphysical Parameterization.” Journal of the Atmospheric Sciences 76, no. 6 (March 26, 2019): 1661–76. https://doi.org/10.1175/JAS-D-18-0187.1.