Hello! I am Brian Whitney.
I am finishing up a degree in Applied Physics with a Minor in Applied Math, After which I will be participating in the Post Grad Data Science Program at the University of Washington. I am currently working on Data Analysis and product development at the Sensors, Energy and Automation Laboratory as a research assistant.
September 2020 - Current
As a researcher I assisted on projects that spanned physical fabrication to data analysis to paper publishing. I utilized skills such as Java, Python, and Matlab, as well as Excel and Slack for team communication elements.
October 2018 - October 2019
Managing house facility for a 100+ resident building, facilitating utilities, repairing a myriad of damages, Managing a house budget and overseeing a team of 50 workers.
May 2018 - September 2018
Worked with children of all ages to improve their chess skills, critical thinking and problem solving. Students would learn how to design and fabricate their own video games in various languages and create working robots based on script written with me.
January 2021 - September 2021
University of Washington, Paul G. Allen School of Computer Science
Applied cutting-edge tools and processes to extract meaning from data. Used machine learning algorithms and statistical analysis to analyze real-life data scenarios and help make informed business decisions.
2017 - 2021
University of Washington, College of Arts and Science
Quantum Mechanics: Fundamental constituents of matter and the symmetries which characterize their interactions. Topics include special relativity; strong, weak, and electromagnetic interactions; quarks and leptons; baryons and mesons; and neutrinos and nuclei. Emphasis on two-state systems. Introduces spin and applications in nuclear magnetic resonance.
Electronics: Basic elements of DC, AC, and transient circuits; electronic devices; electrical measurements. Emphasis on data management, digital electronics of microprocessor systems. Building microprocessor applications and computer micro-processes.
Electromagnetism: Charges at rest and in motion; dielectric and magnetic media; electromagnetic waves; relativity and electromagnetism; physical optics.
Data Analysis and Lab Processes: Data acquisition and analysis using experiments which measure fundamental constants or properties of nature (Planck's constant, Boltzmann's constant, speed of light, charge of electron). Measurement and high tier analysis in modern atomic, molecular, and solid-state physics.
2017 - 2021
University of Washington, COllege of Arts and Science
Application of mathematical judgment, programming architecture, and flow control in solving scientific problems. linear and nonlinear equations; Taylor series; and. Laplace transforms.
Emphasis on use of conceptual methods in engineering, mathematics, and science: Traveling waves of linear equations, dispersion relation, stability, superposition and Fourier analysis, d'Alembert solution, standing waves, vibrations, traveling waves of nonlinear equations, conservation laws, characteristics, breaking, shocks, and rarefaction.
Used MATLAB and Python routines for numerical programming, computation, and visualization. differential equations; Extensive use of MATLAB package for programming and solution techniques.
Address
4748 19th Ave N.E Seattle WA 98105
Phone
+1 360-220-6191
Brian.whitney98@icloud.com