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Stanford Physics Department
Data Scientist
June 29, 2026 – Present
River-Trekking-Map
May 13, 2026 – Present
River Trekking Map is a web map for discovering creek corridors that may be suitable for river trekking, creek scrambling, and water-based hiking.
View ProjectNP_weather_backcast
January 5, 2026 – Present
weather and history weather forecast for national parks.
View ProjectMossbauer_FPGA_DEV
April 17, 2024 – March 21, 2025
Mossbauer_FPGA_DEV — GitHub repository
View ProjectXenon_Single_Code
January 25, 2023 – January 25, 2023
Xenon_Single_Code — GitHub repository
View ProjectIDACRE
November 2, 2022 – February 22, 2023
Integrated Data Acquisition Console for relics experiment
View ProjectNGMDaq
November 23, 2020 – November 20, 2024
Code used to control struck digitizer systems, for our nEXO stanford teststand
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards scientific computing, data acquisition, and hardware interaction, primarily within a physics research context. While this demonstrates deep technical capability in a specific domain, the diversity of projects outside this niche is limited. The target role of 'Data Scientist' is broad, and while the candidate's experience is relevant, the focus on highly specialized scientific DAQ systems might indicate a specific cultural fit for research-heavy environments rather than general industry data science roles. The lack of diverse project types (e.g., business analytics, machine learning applications, web services beyond a single map project) suggests a potentially narrow scope of experience for broader data science team dynamics.
Soft Skills & Operational Fit
The candidate's project history, particularly in scientific data acquisition and experimental setups, suggests a detail-oriented and problem-solving approach. The variety of technologies used across projects indicates adaptability and a willingness to learn diverse tools. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity beyond what is inferred from project descriptions.