Ph.D. Meteorology | Florida State University – anticipated 2021
M.S. Meteorology | Florida State University – December 2018
B.S. Meteorology, cum laude | State University of New York College at Oneonta – May 2016
B.S. Mathematics, cum laude | State University of New York College at Oneonta – May 2016
Tech: Python programming for data analysis (Pandas, NumPy, Matplotlib, SciPy, etc.), bash scripting, large dataset processing, multiple operating systems (Linux, Mac, Windows), Microsoft Office, JMP, GIS
Science: data analysis, statistical analysis, numerical modeling, quantitative reasoning, research, analytical skills
Interpersonal Communication: written communication, public speaking, teamwork, leadership, project management
NASA Earth and Space Science Fellowship (2017-present)
FSU Fellow’s Society Inductee (2017)
Chi Epsilon Pi Honor Society Inductee (2017)
SUNY Oneonta Earth and Atmospheric Sciences Dept. Top Academic Award (2016)
NOAA Ernest F. Hollings Scholarship (2014-2016)
Sigma Gamma Epsilon Honor Society (2013-2016)
SUNY Oneonta Presidential Scholarship (2012-2016)
National Fastpitch Coaches Association All-American Scholar Athlete (2014)
Immediately upon graduation (2021), I will be looking for employment in the Phoenix, AZ area.
I’m open to exploring what possibilities exist post-PhD. My interests (so far) lie in primarily two categories, science policy and data science. I am interested in attending workshops geared towards researchers in STEM wanting to make the transition to policy-making. I have considered applying to science policy fellowships post-graduation. I was an attendee at the 2019 AMS Summer Policy Colloquium, where I learned the inner workings of science policy at the federal level. In addition, I had the opportunity to take a semester-long law course, where I was introduced to and studied several key federal environmental law statutes. This course was individually sought after by myself and fell beyond the regular STEM-based curriculum my degree offers.
My other broad interests lie within the fields of air quality, data science, machine learning, and the power of large-scale computing. While this is extremely broad, I would consider delving into the government or private sector to gain experience in these fields outside of academia.