Kevin Nebiolo, Ph.D.

Senior Data Scientist

Kevin Nebiolo joined Kleinschmidt’s Fish Passage and Protection and 316(b) team as an Associate Scientist in April 2006. 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.

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. 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. He has expertise with analysis methods that range from machine learning to traditional frequentist statistical techniques. 

EDUCATION:

Ph.D. Geography (with distinction), University of Connecticut

M.A. Geography, University of Connecticut

B.A. Coastal Studies, University of Connecticut

Kevin P. Nebiolo