Christopher Newport University - Biology
Associate Research Scientist at Virginia Institute of Marine Science
Research
Jon Derek
Loftis
Gloucester Point, Virginia
Experienced research professional with a PhD in Marine Science from The College of William and Mary. Specializes in modeling estuarine hydrodynamics, predictive modeling, and observation of inundation at street-level scales in urban environments. Published author in the fields of fluid physics, hydrosciences, remote sensing, sensor engineering, physical electrochemistry, materials science, and biomedical nanotechnology.
University Adjunct Professor
-Provided instruction for 2-5 General Biology Laboratories (24-28 students each) per semester for 17 semesters. Also instructed 4 Writing Intensive Capstone Seminars for Biology Majors in 2015 and 2016.
-Presented brief lecture instruction and simplistic direction while providing additional assistance in creative experimental design and implementation. Responsible for grading and reporting scores.
-Provided students with understanding regarding the importance of documentation in the scientific method, while helping individual students to enhance public speaking capacities and writing skills.
-Received top-percentile student approval ratings based on IDEA teacher evaluation forms.
DEVELOP Graduate Research Personnel
-Operated as a graduate researcher, project presenter, and project manager for several projects, including: CA Ecological Forecasting, VA Climate Change, and AK Ecosystem Management.
-Presented NASA sea level trend data to Southern Growth Policy Board, Hampton Roads Planning District Commission, VA General Assembly, and to VA Congressman Rob Whitman in 2009.
-Utilized creative capacities for project solutions development in data processing of satellite computer models to address community concerns and report back to NASA HQ on NASA TV.
-Generated a 3D forecast visualization (to 2100) for sea level rise in Hampton Roads region via blending NASA topography mission data and NOAA sea level measurements from Sewell’s Point.
-Used knowledge of ArcGIS mapping software to further project research in offshore California coastal research endeavors and mapping Virginia sea level, disease vectors, and invasive species.
Associate Research Scientist
-Develops and manages StormSense IoT stream sensor network in Tidewater VA and aids in development of sensor integration into Tidewatch 36-hr forecast charts and Tidewatch operational inundation forecast maps.
-Develops high-resolution street-level hydrodynamic model simulations with embedded Lidar-derived elevations and infrastructure to forecast flooding from storm surge, rain, and tidal inundation in Coastal Virginia in association with the VA Commonwealth Center for Recurrent Flooding Resiliency’s research initiatives.
-Applies for research funding from local, state, federal, and private sources and regularly updates agencies of progress through meetings, reports, media appearances, and publications of physical and hydrodynamic modeling operations.
-Teaches GIS 420/520 Advanced Geographic Information Systems lecture and laboratory courses and GIS 495 Remote Sensing at the William & Mary Williamsburg Campus.
Ph.D. Graduate Student
-Conducted storm surge and inundation forecast and hindcast modeling operations for 2012 Hurricane Sandy using both a large-scale storm tide model of the U.S. East Coast and a street-level inundation model in New York City.
-Authored a 207-page dissertation entitled: "Development of a Large-Scale Storm Surge and High-Resolution Sub-Grid Inundation Model for Coastal Flooding Applications: A Case Study During Hurricane Sandy," and presented a defense seminar at the College of William and Mary on April 18th, 2014.
-Co-authored titular portions of dissertation research in two peer-reviewed publications with his Ph.D. advisor, Harry V. Wang, prior to graduation:
(1) “Storm Surge and Sub-Grid Inundation Modeling in New York City during Hurricane Sandy,” published in the Journal of Marine Science and Engineering in March 2014, and
(2) a NASA Technical Report #2013-218046 titled, “Storm Surge and Inundation Modeling in the Back River Watershed for NASA Langley Research Center,” published in October 2013.
-Performed water quality and ecosystem modeling simulations using high-performance computing technology for the EPA, DEQ, and various localities neighboring major water bodies of Maryland and Virginia including: all of the Coastal Bays of Maryland, the Baltimore Harbor and upper Chesapeake Bay, Potomac River, James River, Elizabeth River, and Lafayette River.
Post-Doctoral Research Associate
-Prepared chapters from dissertation and deliverables from ongoing research projects
for publication in peer-reviewed journals
-Conducted and oversaw storm surge and inundation forecast and hindcast modeling operations
-Performed multivariate statistical analyses for estuarine water quality projects in the Chesapeake Bay and its tributaries
-Assisted in execution of water quality and ecosystem modeling simulations using high-performance computing resources and technology
Assistant Research Scientist
-Developed high-resolution street-level hydrodynamic model grids from Lidar to forecast flooding from storm surge, rain, and tidal inundation in Coastal Virginia in association with the Commonwealth Center for Recurrent Flooding Resiliency’s research.
-Taught advanced Geographic Information Systems lecture and laboratory courses including Remote Sensing and Environmental Applications of GIS at the William & Mary Williamsburg Campus.
-Applied for local, state, and federal sources of funding aligned with the functional modeling operations of the Commonwealth Center for Recurrent Flooding Resiliency.
Scientific Graduate Research Personnel
-Provided scientific analysis on varying projects associated with niobium electrochemical polishing.
-Proposed ecological and economic alternatives for hazardous chemicals utilized in niobium metal electrochemical polishing, superconductivity, and radiofrequency analysis experiments.
-Participated in electrochemical polishing and deposition procedures to produce an environmentally conducive niobium polishing solution free from hazardous acid materials and need for degassing.
-Master’s thesis material derived from research regarding niobium electrochemical deposition over polished copper surfaces in comparison with acid-polished (HF, HNO3, H3PO4) niobium.
Process Engineer Private Contractor
-Operated as a scientific researcher overseeing and administering chemical processing tests.
-Acted as the sole operating officiate of the machinery performing the Quick Enzymatic Separating Process; which was patented for the reprocessing of Dried Distillers Corn into E-85% Ethanol.
-Composed a written procedure for the use of the Quick Enzymatic Separating Process machine, capable of processing beyond bench-top level manufacturing of 25 lb samples of DDC (dry corn).
Bachelor of Science (BS)
Biology, General
Minors: Chemistry & Leadership Studies
Master of Science (MS)
Environmental Science
Research Concentration: Environmental Chemistry
MS Thesis Title: Acid-Free Electrochemistry Techniques using an Ionic Liquid
University Adjunct Professor
-Provided instruction for 2-5 General Biology Laboratories (24-28 students each) per semester for 17 semesters. Also instructed 4 Writing Intensive Capstone Seminars for Biology Majors in 2015 and 2016.
-Presented brief lecture instruction and simplistic direction while providing additional assistance in creative experimental design and implementation. Responsible for grading and reporting scores.
-Provided students with understanding regarding the importance of documentation in the scientific method, while helping individual students to enhance public speaking capacities and writing skills.
-Received top-percentile student approval ratings based on IDEA teacher evaluation forms.
Doctor of Philosophy (PhD)
Marine Science
Graduated at W&M from the Virginia Institute of Marine Science
Departmental Concentration: Physical Oceanography
Ph.D. Dissertation Title: Development of a Large-Scale Storm Surge and High-Resolution Sub-Grid Inundation Model for Coastal Flooding Applications: A Case Study During Hurricane Sandy
Journal of Marine Science and Engineering
Journal of Marine Science and Engineering
OCEANS'14 MTS/IEEE TAIPEI
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