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I am a highly motivated researcher and problem-solver seeking to transition into the aerospace industry. I aim to leverage broad expertise in high-resolution space-based remote sensing, novel image processing algorithms, statistical data analysis, physical modeling, and optical & mechanical lab experience acquired through a Ph.D. in Astronomy. I am a quick learner with a proven ability to efficiently apply and effectively communicate new skills.

• 🔭 Working on: Assessing strengths, weaknesses, and best practice observing strategies for JWST high-resolution kernel-phase imaging (using detection limit metrics) to maximize the yield of valuable telescope time.
• 🌍 Languages: (fluent) Python, bash, git, LaTeX, (familiar) C, SQL, Fortran, slurm, Mathematica
• 📫 How to reach me: [email protected]
• 😄 Pronouns: he/him
• ⚡ Fun fact: I row crew and am an avid hiker / backpacker.

Argus is a package enableing the extraction and modeling of kernel-phase data from high resolution imaging data. Tutorials are currently under construction.

HBMBinaryPop is a notebook which allows the user to fit a binary population model to detections and detection limits using hierarchical bayesian modeling.

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