I am a skilled Research Scientist with significant experience in the civil engineering industry. Adept with traditional experimental techniques used to gather and analyze data for wind engineering. Familiarity with the design, construction, instrumentation, and validation of models used to explain observed phenomena. Extensive knowledge of the suitability and application of single-objective and multi-objective optimization algorithms. Creative, self-motivated and known for independently and rapidly learning new methods to resolve situational problems. Versed in compiling data and authoring peer-reviewed scientific journals to relay findings to experts and interested researchers within the field.Key accomplishments:• Developed cyber infrastructure necessary to link experimental wind tests with numerical optimization• Created a mechatronic aeroelastic model with adjustable dynamic and aerodynamic properties• Integrated numerical optimization into standard boundary layer wind tunnel testing• Demonstrated feasibility of application of multi-objective optimization within cyber-physical framework to handle competing objectives• Demonstrated controllable aerodynamic features can have benefits that aren’t necessarily intuitive• Advanced wind engineering through the enabled discovery of non-intuitive optimization solutions without any prior knowledge of the model behavior• Progressed automation of design process considering input from multiple stakeholdersSoftware proficiencies: Matlab • Python • SolidWorks • AutoCAD • Microsoft Excel, PowerPoint, WordContact: whiteman_michael@protonmail.com