Kate Colvin

Experience

• 

  University of California, Davis

  Jul 2019 - Aug 2019

  COSMOS Student (Physics)

  UC Davis Cluster 1 - Quantum Mechanics and Applications to Nanotechnology Built a scanning tunneling microscope, including the supporting electronics and software, to image individual carbon atoms.

• 

  SAAS Berkeley

  Jan 2021 - Apr 2024

  Direct the SAAS advisors in facilitating intra-committee operations and creating professional development resources; guide the executive team in conducting club-wide procedures and implementing changes. Oversaw all whole-club initiatives, including directing the leadership board, selecting the directors and advisors of the nine SAAS committees, piloting new member recruitment, negotiating contracts with project clients, and fostering a welcoming community for all 130 members each semester. Collaborated with committee members to implement the EmbedKGQA natural language question answering system for [24]7.ai, an AI business-services company. Led SAAS’s intro-level committee, which involved facilitating weekly statistics/data science lectures, initiating and managing all committee operations, and communicating with committee members to foster their academic and professional growth. Won inter-committee Kaggle machine learning competition to predict rainfall using gradient boosting classifiers and k-fold cross-validation techniques from Scikit-learn library; attended weekly lectures on topics in statistics and data science.

  • Head Advisor

    May 2023 - Apr 2024

  • President

    May 2022 - Apr 2023

  • Insights & Analytics Committee Member

    Jan 2022 - May 2022

  • Career Exploration Committee Director

    May 2021 - Dec 2021

  • Career Exploration Committee Member

    Jan 2021 - May 2021
• 

  University of California, Merced

  May 2021 - Aug 2021

  Research Assistant (Public Health)

  Professor Paul Brown, Health Economics and Public HealthAnalyzed farmer and stakeholder interviews to learn about healthcare access and utilization for farmworkers in the California Central Valley.

• 

  UC Berkeley School of Public Health

  Feb 2022 - May 2023

  Undergraduate Researcher (Biostatistics)

  Professor Justin Remais, Environmental Health Sciences DivisionDeveloped multivariate linear regression and distributed lag nonlinear models to investigate the impact of environmental factors on the timing of seasonal coccidioidomycosis (Valley Fever) outbreaks throughout California.

• 

  University of Michigan School of Public Health

  Jun 2022 - Jul 2022

  Big Data Summer Institute (BDSI) Researcher

  Professor Bhramar Mukherjee, Department of BiostatisticsApplied variations of the SIR compartmental model (SEIR, eSIR) to predict the spread of SARS-CoV2 in Brazil.

• 

  Memorial Sloan Kettering Cancer Center

  Jun 2023 - Aug 2023

  Quantitative Sciences Undergraduate Research Experience (QSURE) Fellow

  Dr. Lillian Boe, Department of Epidemiology & BiostatisticsImplemented multivariate imputation by chained equations to create regression models with breast cancer patient data; determined the impact of differences between mastectomy and flap weights on long-term patient satisfaction and surgical complication rates.