Joeseph Smith

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
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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:

Gronewold, A.D., J.P. Smith, L.K. Read and J.L. Crooks. 2019. Reconciling the water balance of large lake systems. Advances in Water Resources. (DOI:10.1016/j.advwatres.2020.103505). [Altmetric Score]

Smith, J.P., E.K. Lower, F.A. Martinez, C.M. Riseng, L.A. Mason, E.S. Rutherford, M. Neilson, P. Fuller, K.E. Wehrly and R.A. Sturtevant. 2019. Interactive mapping of nonindigenous species in the Laurentian Great Lakes. Management of Biological Invasions. 10(1):192-199. (DOI:10.3391/mbi.2019.10.1.12).

Smith, J.P., R.J. Miller, R.W. Muzzi, S.A. Constant, K.S. Beadle, D.A. Palladino, T.H. Johengen and S.A. Ruberg. 2017. An implementation of a database management system for real-time large-lake observations. Marine Technology Society Journal. 51(6). (DOI:10.4031/MTSJ.51.6.2).

Smith, J.P. and A.D. Gronewold. Development and analysis of a Bayesian water balance model for large lake systems. 2017. Submitted. E-print available on arXiv: (DOI:https://arxiv.org/abs/1710.10161). [Altmetric Score]

Gronewold, A.D., J. Bruxer, D. Durnford, J.P. Smith, A.H. Clites, F. Seglenieks, S.S. Qian, T.S. Hunter and V. Fortin. 2016. Hydrological drivers of record‐setting water level rise on Earth’s largest lake system. Water Resources Research. 52(5):4026-4042. (DOI:10.1002/2015WR018209). [Altmetric Score]

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