- Graduated from Trenton High School in 2014 with a GPA of 3.81 and an ACT score of 29
- Graduated with High Distinction from the University of Michigan in 2018 with a Bachelor of Science degree in Earth Science, a minor in Astronomy and a certificate in Geographic Information Systems. My GPA was 3.76.
- THS Gold Academic Medallion
- THS Senior Scholar
- UM-Dearborn Dean's Scholarship
- UM-Dearborn Honors Scholar in Geological Sciences for 2018
- University Honors at UM-Dearborn-- graduated With High Distinction
- Did Independent Study in Geology with Dr. Mark Salvatore in Winter 2017; we studied rhythmic layering of Martian sedimentary deposits and their ties to Milankovitch cycles. Presented my research at 2017 UM-Dearborn Natural Sciences Poster Session
- Did Independent Study in Astronomy with Dr. Will Clarkson. This research is being done on the quiescent behavior of Black Hole Binary V404 Cygni, using Python scripts to analyze telescope observations. The results were presented at the 2018 and 2019 UM-Dearborn Natural Sciences Poster Session, the 6th annual Compact Objects in Michigan meeting, and the 2019 Meeting of Minds conference. We are hoping to publish these results in a peer-reviewed scientific journal in the near future.
- Former Member of Intelligent Systems Club "Team Argon", where I advise the team with respect to geology as the team's engineers design and build a rover similar to the NASA Mars Rovers with the intent of one day competing in the University Rover Challenge
- Worked as a computer lab assistant in the Geospatial Analysis and Mapping (GAM) lab during Winter and Fall 2018. Part of my job included assisting people with GIS-related inquiries. These people include students currently enrolled in Intro to GIS and Remote Sensing, as well as others with questions about how GIS works and how to perform specific inquiries with the software.
- While proctoring, I also studied a textbook introducing Python scripting for ArcGIS.
- In addition, I wrote a tutorial describing how to conduct remote sensing of Landsat images in GRASS GIS. This tutorial is expected to be followed by UM-Dearborn's 2019 Remote Sensing class.