Joeseph Smith

General Programmer/Analyst

 

4840 South State Street
Room 308
Ann Arbor, MI 48108-9719

734-741-2252
joeseph@umich.edu

ORCID
Curriculum vitae

Education:

  • University of Michigan 2009-2012: Informatics – Information Analysis/Data Mining Bachelor of Science
  • Washtenaw Community College 2007-2009: Math and Computer Science Associates Degree

Accomplishments:

  • Development of a Bayesian Network simulated via Markov Chain Monte Carlo sampling that effectively and efficiently closes the water balance of the Laurentian Great Lakes, utilizing multiple observation sources
  • Development of a SQL (PostgreSQL) database for real-time remote sensing (buoy) data, making the data more accessible to scientists and stakeholders via a web interface.
  • Processing of, collectively, multiple terabytes of data for web consumption (as above) and for scientific inquiries of multiple scientists and stakeholders.
  • Refactored and redesigned software as necessary for increased efficiency and better documentation
  • Aiding in and producing of publications and presentations to communicate scientific findings and software developments to the community and public
  • Management of a website utilizing a Content Management System (CMS)
  • Providing valuable input into the ongoing development of a sustainable and scalable Information Technology platform for scientific research and development
  • Development of web applications in HTML, JavaScript, jQuery, and Adobe Flash utilizing secure, text-based data sets:
    • Great Lakes Dashboard
    • Lake Erie Harmful Algal Blooms (HABs) and Hypoxia data browsers covering routine manual sampling, automatic real-time, and model output data
    • Map explorer for the Great Lakes Nonindigenous Species Information System (GLANSIS)

Publications:

Smith, J.P., Miller, R.J., Muzzi, R.W., Constant, S.A., Beadle, K.S., Palladino, D.A., Johengen, T.H., Ruberg, S.A., An implementation of a database management system for real-time large-lake observations. Marine Technology Society Journal, 51(6).

Smith, J.P., and Gronewold, A.D., Development and analysis of a Bayesian water balance model for large lake systems. Submitted. E-print available on arXiv: https://arxiv.org/abs/1710.10161.

Gronewold, A.D., Bruxer, J., Durnford, D., Smith, J.P., Clites, A.H., Seglenieks, F., Qian, S.S., Hunter, T.S. and Fortin, V., 2016. Hydrological drivers of record‐setting water level rise on Earth’s largest lake system. Water Resources Research, 52(5), pp.4026-4042.

Smith, J.P., Hunter, T.S., Clites, A.H., Stow, C.A., Slawecki, T., Muhr, G.C. and Gronewold, A.D., 2016. An expandable web-based platform for visually analyzing basin-scale hydro-climate time series data. Environmental Modelling & Software, 78, pp.97-105. http://dx.doi.org/10.1016/j.envsoft.2015.12.005.

Presentations:

Ruberg, S.A., Constant, S.A., Muzzi, R.W., Miller, R.J., Smith, J.P., Utilization of PostgreSQL Database for Real-Time Western Lake Erie Data Storage and Dissemination. 60th Annual Conference of the International Association for Great Lakes Research, Detroit, Michigan, United States of America, May 15-19, 2017.

Smith, J.P., Hunter, T.S., and T.A. Slawecki. “MVC” environmental informatics software foundation for relationship-based collaborative science. 59th Annual Conference of the International Association for Great Lakes Research, University of Guelph, Ontario, Canada, June 6-10, 2016.

Smith, J.P., Hunter, T.S., and T.A. Slawecki. Tools of the Data Smithe’s Trade. 59th Annual Conference of the International Association for Great Lakes Research, University of Guelph, Ontario, Canada, June 6-10, 2016.