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University of California
Data Scientist
June 19, 2026 – Present
paleoseawater
October 16, 2025 – Present
Supplemental data for 'Composition, properties, speciation, and pH of paleo-seawaters'
View Projectmld-box-model-c-isotopes
July 22, 2024 – October 11, 2024
mld-box-model-c-isotopes — GitHub repository
View ProjectOrbital-Effects-on-Southern-Ocean-Upwelling
October 5, 2022 – June 19, 2024
Investigating obliquity's influence on Southern Ocean dynamics for late-Pleistocene glacial-interglacial cycles. Employing numerical models (EBM, Orbital Insolation Model, CAM), we analyze its effects on atmospheric and oceanic circulation. Discoveries include indirect climate impacts via sea ice and temperature, leading to a proposed carbon cycle.
View Projectlchl-mhw-events
February 11, 2022 – June 1, 2022
This is the repo for processing low chlorophyl (LChl) and marine heatwave (MHW) data and predicting compound events using random forests in R.
View Projectseacarbx
October 27, 2020 – February 16, 2023
seacarbx - seacarb extension for deep-time carbonate system calculations
View ProjectStableSr
July 21, 2020 – February 6, 2021
Repo for inverse/forward model of stable Sr isotope data of Paytan and colleagues
View ProjectMyAMI
March 31, 2015 – August 17, 2022
MyAMI Specific Ion Interaction Model (Version 1.0); Mathis P. Hain; mhain@ucsc.edu
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in academic and scientific research, specifically in earth sciences and oceanography. While demonstrating strong analytical capabilities, the breadth of exposure to diverse industry-standard data science applications, business problems, or team collaboration scenarios is limited. This might indicate a need for adaptation to a more commercially focused data science environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's experience is primarily academic/research-oriented, and no psychometric or English test results are available.