Shaughnessy Dunn
Boulder,Colorado
Summary
Responsible and motivated student ready to apply education in the workplace. Offers excellent technical abilities with software and applications, ability to handle challenging work, and excellent time management skills.
Overview
2
2
years of professional experience
Work History
Spectrograph Design & Agile Software Development
Astronomical Instrumentation Lab - CU Boulder
Boulder, USA
01.2025 - Current
- Collaborate in an Agile team to design and fabricate a scientific spectrograph under material and size constraints
- Lead the electrical subsystem, programming Arduino motor controls for optical alignment and calibration
- Develop Python-based scripts to process and analyze astronomical spectra, simulating real-time signal processing workflows
- Integrate hardware-software interfaces for coordinated data acquisition and control
Software Engineer & Data Analyst
Observational Software Development - Sommers Bausch Observatory, CU Boulder
Boulder, USA
09.2023 - Current
- Built and calibrated Python image processing pipelines for raw telescope imagery and spectral data
- Automated data correction and visualization routines using NumPy, SciPy, and Matplotlib
- Contributed to development of internal tools for multi-instrument data integration, preparing datasets for research analysis
Lunar Albedo & Gravity Data Analysis
University of Colorado at Boulder
01.2024 - 05.2024
- Designed Python-based algorithms to analyze and correlate Planetary Data System (PDS) datasets
- Identified unexpected relationships between gravity anomalies and silicic volcanic activity on the Moon
- Led code validation and data verification within a team environment, simulating collaborative research workflows
Data Analyst & Field Collaboration
NASA
02.2023
- Company Overview: NASA Lucy Mission
- Processed astronomical occultation data using Python, supporting trajectory planning for NASA's Lucy mission
- Collaborated with field teams to ensure accurate data acquisition and preprocessing
- Verified signal timing and noise profiles, contributing to cross-validation of observational datasets
Education
Bachelor of Arts - Astrophysical & Planetary Science
University of Colorado At Boulder
Boulder, CO05-2025
Skills
- Data analysis
- Spectroscopic techniques
- Data visualization
- Team collaboration
- Problem solving
- Scientific writing
Accomplishments
- Paramenter Scholarship APS Department
References
References available upon request.
Timeline
Spectrograph Design & Agile Software Development
Astronomical Instrumentation Lab - CU Boulder
01.2025 - Current
Lunar Albedo & Gravity Data Analysis
University of Colorado at Boulder
01.2024 - 05.2024
Software Engineer & Data Analyst
Observational Software Development - Sommers Bausch Observatory, CU Boulder
09.2023 - Current
Data Analyst & Field Collaboration
NASA
02.2023
Bachelor of Arts - Astrophysical & Planetary Science
University of Colorado At Boulder
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