I am a programmer and PhD Candidate in Forest Policy Analysis with a strong interest in Data Science. My current research is on policy optimization using reinforcement and machine learning techniques for large spatial simulations. I am also pursuing a MS in Applied Economics and have a previous masters in Plant Biology. I pair strong mathematics, statistics, and programming abilities with dynamic interpersonal and leadership skills, all on top of 10 years of experience working as a programmer, analyst, and researcher in several STEM fields.

PhD Candidate - Forestry, Economics, and Machine Learning @ Researching machine learning approaches to finding optimal wildfire suppression policies. Heavy use of simulations, stochastic approximation, and data visualization. From September 2012 to Present (3 years 3 months) Corvallis, OregonGraduate Research Assistant @ From September 2007 to September 2009 (2 years 1 month) Professional Tutor @ College Algebra, College Calculus, General Biology, General Chemistry, General Physics From September 2006 to August 2007 (1 year) Rancho Cucamonga, CABiological Science Technician and Programmer @ -Original designer and programmer of the USDA's Award-winning Virtual Grower software -Greenhouse and Controlled Environment Sensor Technician From August 2004 to May 2006 (1 year 10 months) Toledo, Ohio Area

Doctor of Philosophy (Ph.D.), Forest Policy Analysis @ Oregon State University From 2012 to 2016 Master’s Degree, Applied Economics @ Oregon State University From 2012 to 2016 Master of Science (MS), Plant Ecology @ University of California, Riverside From 2007 to 2009 Bachelor of Science (BS), Biology @ Seattle Pacific University From 2000 to 2004 Hailey Buckingham is skilled in: Research, Stochastic Approximation, Heuristic Algorithms, Machine Learning, Statistics, Python, C++, Matlab, Scilab, R, Mathematics, Higher Education, Simulations, Biology, Chemistry, Teaching, Tutoring