Joeseph SmithGeneral Programmer/Analyst
In the News:
- CIGLR’s Research Staff Provide Critical Information on Lake Erie’s Harmful Algal Blooms During the COVID-19 Pandemic, CIGLR Fall 2020 eNews, 12/22/2020
- Great Lakes Research: Keeping Up With Big Data, CIGLR Winter 2020 eNews, 4/3/2020
- Large Lake Statistical Water Balance Model (L2SWBM), NOAA GLERL Website, 7/23/2018
- A Big Data Challenge – Lake Erie Algal Blooms and Hypoxia, CIGLR Winter 2017 eNews, 3/10/2017
CIGLR Minute: 2018 Review
I am an experienced full-stack developer, data scientist, and engineer, adept in bringing forth expertise in design, installation, testing, and maintenance of software systems. Currently, I am focused on working with NOAA GLERL and CIGLR scientists on processing the wide variety of data available to them, producing visuals for peer-reviewed publications, and generating content for both NOAA GLERL’s and CIGLR’s webpages. I have nearly 10 years of experience identifying efficiencies and problem areas within data streams, while communicating needs for a variety projects.
- Development of a larval fish dispersion simulator for Lake Michigan supported by the Finite Volume Community Ocean Model’s (FVCOM’s) Particle Trajectory module in FORTRAN
- Further development of the NOAA-GLERL and CIGLR Experimental Hypoxia Forecast System for Lake Erie
- Mentored CIGLR Summer Fellow on Database Development in 2018
- 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
- 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)
Do, H.X., Smith, J.P., Fry, L.M. and Gronewold, A.D. 2020. Seventy-year long record of monthly water balance estimates for Earth’s largest lake system. Scientific Data. 7(1), pp.1-12. (DOI:10.1038/s41597-020-00613-z). [Altmetric Score]
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]
- 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.
- University of Michigan 2009-2012: Informatics – Information Analysis/Data Mining Bachelor of Science
- Washtenaw Community College 2007-2009: Math and Computer Science Associates Degree