Professional Staff

“One of the things I like about working at Kleinschmidt the most is getting the opportunity to develop innovative solutions for our clients.  In the data science field, I’m routinely tasked with developing a deeper understanding of a system under study.  Every project has its own set of questions, which we must answer with carefully constructed and targeted field surveys that are augmented with remote sensors and publicly available structured and unstructured data sources.  We then aggregate these data in different ways and then apply traditional inferential statistical analyses or machine learning algorithms to draw deep insight from these disparate data sources. More often than not, these solutions are one of a kind and require custom-written programs. I’m always getting the opportunity to work on something new and exciting across multiple disciplines. Work here is never boring.”

By bringing fresh, practical solutions to clients, Kevin Nebiolo is Kleinschmidt’s Fisheries/Aquatic Section Manager. Kevin first joined Kleinschmidt’s Fish Passage and Protection and 316(b) team as an Associate Scientist in April 2006. Since joining Kleinschmidt, Kevin has led the analysis efforts for numerous 316(b) projects, fish passage effectiveness studies, large-scale whole-river fish movement telemetry studies, spatial habitat modeling efforts, and multiple analyses of shipping density with AIS data for location/allocation projects. Kevin has expertise with analysis studies that range from machine learning to traditional frequentist statistical techniques. As Kleinschmidt’s data scientist, Kevin routinely manages large-scale data using SQL, HD5F, and GIS applications and analyzes them with tools in Python and R. Kevin’s responsibilities also include implementing company policies for the collection, handling, managing, and processing of data as well as leading staff training initiatives.

Kevin’s data-science efforts have ranged from large-scale GPS collection projects for shoreline management plans that identified over 20,000 permittable structures on over 500 miles of shoreline, to large-scale telemetry projects that produce millions of records. Some of his most recent projects with Kleinschmidt include remote sensing flow demonstration survey, remote sensing mesohabitat survey, remote sensing structural identification, remote sensing vegetated cover analysis; permitting assistance; location analysis and permitting support aquaculture development; 3D acoustic telemetry; river restoration; evaluation of upstream and downstream passage of adult American shad; spatial planning; aquatic habitat assessments; fish population assessments and baseline studies for feasibility study.

Kevin earned a Bachelor of Arts in Coastal Studies (now Marine Science) from the University of Connecticut, holds a Master’s Degree in Geography, and has a Ph.D. in Geography specializing in the simulation of complex adaptive systems to solve difficult location/allocation problems. Kevin’s doctoral research focused on simulating interaction among individual mariners as they react to offshore wind farms.