Gary Conley Email & Phone Number

I combine expertise in hydrology, pollution dynamics, and applied math to build watershed-based tools used by communities throughout the US to tackle water pollution problems. This includes modeling and analytical methods to turn streams of data into actionable knowledge and reduce the costs of clean water. I focus on developing practical, science-based approaches that reliably quantify environmental outcomes and communicate progress. As Chief Scientist at 2NDNAUTRE, I lead an innovative and passionate team to develop the scientific basis for state of the art software tools that support watershed stewardship. Our tools help build climate resiliency, identify stormwater capture and reuse opportunities, and maximize pollution reduction opportunities.Recent Publications:Nodine, T.G., Conley, G., Riihimaki, C.A., Holland, C. and Beck, N.G., 2024. Modeling the impact of future rainfall changes on the effectiveness of urban stormwater control measures. Nature Scientific Reports, 14(1), p.4082.Hapich, H., [...] Conley, G., et al., 2022. Trash Taxonomy Tool: Harmonizing classification systems used to describe trash in environments. Micropl.&Nanopl. 2, 15 (2022). https://doi.org/10.1186/s43591-022-00035-1Conley, G., McDonald, R.I., Nodine, T., Chapman, T., Holland, C., Hawkins, C. and Beck, N., 2022. Assessing the influence of urban greenness and green stormwater infrastructure on hydrology from satellite remote sensing. Science of The Total Environment, 817, p.152723.Conley, G., Zinn, S.C., Hanson, T., McDonald, K., Beck, N. and Wen, H., 2022. Using a deep learning model to quantify trash accumulation for cleaner urban stormwater. Computers, Environment and Urban Systems, 93, p.101752.Conley, G., Beck, N., Riihimaki, C.A. and Tanner, M., 2021. Assessing the feasibility of a cloud-based, spatially distributed modeling approach for tracking green stormwater infrastructure runoff reductions. Water. 13, 255.Conley, G., Beck, N., Riihimaki, C.A. and Tanner, M., 2020. Quantifying clogging patterns of infiltration systems to improve urban stormwater pollution reduction estimates. Water Research, p.100049.Conley, G., Beck, N., Riihimaki, C.A. and Hoke, C., 2019. Improving urban trash reduction tracking with spatially distributed Bayesian uncertainty estimates. Computers, Environment and Urban Systems, 77, p.101344.Beck, N.G., Conley, G., Kanner, L., Mathias, M. 2017. An urban runoff model designed to inform stormwater management decisions. Journal of Environmental Management v193: 257-269.

Listed skills include Research, Ecology, Microsoft Office, Leadership, and 3 others.