Experience

University of Maryland – College of Computer, Mathematical, and Natural Sciences

• United States
• Higher Education
• 1 - 100 Employee

• Faculty Specialist

  • Jun 2023 - Present

  Write code to maintain and improve data pipelines for large-scale climate modeling. Write code to maintain and improve data pipelines for large-scale climate modeling.



University of Arizona

• United States
• Higher Education
• 700 & Above Employee

• Data Scientist

  • Jan 2021 - Jan 2023

  I was a senior staff member of an academic lab focused on solving problems in bioinformatics while producing top-notch software. My part involved using NLP techniques like LLMs to create sensitive embeddings for multi-domain proteins. I also advised students, which was very rewarding. I worked on a multitude of projects, but I'm most proud of an end-to-end deep learning sound classification tool and two Python tools I wrote that enable fast and reproducible machine learning. I was a senior staff member of an academic lab focused on solving problems in bioinformatics while producing top-notch software. My part involved using NLP techniques like LLMs to create sensitive embeddings for multi-domain proteins. I also advised students, which was very rewarding. I worked on a multitude of projects, but I'm most proud of an end-to-end deep learning sound classification tool and two Python tools I wrote that enable fast and reproducible machine learning.



University of Montana

• United States
• Higher Education
• 700 & Above Employee

• Graduate Research And Teaching Assistant

  • May 2018 - Dec 2020

  My thesis involved using computer vision to map irrigation in satellite imagery across Montana. I was also part of UM BRIDGES, a program focused on training future leaders from diverse backgrounds to advance societally-relevant science toward more sustainable food-energy-water (FEW) systems. Through this, I received a NSF National Research Traineeship, and got an internship with MPG Ranch, a nonprofit focused on conservation research, outreach, and education. My thesis involved using computer vision to map irrigation in satellite imagery across Montana. I was also part of UM BRIDGES, a program focused on training future leaders from diverse backgrounds to advance societally-relevant science toward more sustainable food-energy-water (FEW) systems. Through this, I received a NSF National Research Traineeship, and got an internship with MPG Ranch, a nonprofit focused on conservation research, outreach, and education.



Montana Space Grant Consortium

• United States
• Space Research and Technology
• 1 - 100 Employee

• Intern

  • May 2016 - Nov 2020

  I was a research intern with MSGC, a branch of NASA's National Space Grant program. In this role, I led development, research, and analysis efforts to produce software that detects gravity waves in radiosonde profiles. I was lucky enough to observe two total solar eclipses (one that was in Chile!) and launch weather balloons during them. We published two papers related to this work, and I was the technical leader of both of them. We developed a lot of Python and MATLAB code. I was a research intern with MSGC, a branch of NASA's National Space Grant program. In this role, I led development, research, and analysis efforts to produce software that detects gravity waves in radiosonde profiles. I was lucky enough to observe two total solar eclipses (one that was in Chile!) and launch weather balloons during them. We published two papers related to this work, and I was the technical leader of both of them. We developed a lot of Python and MATLAB code.



MPG Ranch

• Intern

  • May 2018 - Feb 2019

  MPG Ranch is a nonprofit focused on research, education, and outreach. I worked with senior members of the organization to come up with a proof-of-concept fish classification pipeline using deep learning and other computer vision techniques. I designed the experiment, collected data, wrote the analysis code, and cleanly presented results. Used class-activation mapping and pretrained CNNs to make an extremely accurate fish species classifier. MPG Ranch is a nonprofit focused on research, education, and outreach. I worked with senior members of the organization to come up with a proof-of-concept fish classification pipeline using deep learning and other computer vision techniques. I designed the experiment, collected data, wrote the analysis code, and cleanly presented results. Used class-activation mapping and pretrained CNNs to make an extremely accurate fish species classifier.