Christine Nyaga

Graduate Research Assistant

CORNELL UNIVERSITY•  August 2021 - Present•  Ithaca, NY

- Developed predictive models using ridge regression to analyze phenotypic and genomic data, enhancing prediction accuracy and phenotype selection. - Optimized model performance by comparing linear models with and without spatial component implemented using smoothing splines, leveraging R² and AIC metrics in rather noisy datasets. - Presented findings at academic conferences to diverse audiences, refining skills in data-driven communication and cross-functional insights. - Took Machine Learning, Data Mining and Linear Models with Matrices to improve my understanding of the coursework

Data Entry and Curation Personel

INTERNATIONAL LIVESTOCK RESEARCH INSTITUTE•  January 2021 - May 2021•  Nairobi, Kenya

- Ensured data accuracy and integrity by managing and curating large agricultural datasets, streamlining research processes and supporting data-driven analyses in plant breeding projects.

Graduate Research Assistant

CIMMYT•  January 2019 - July 2020•  Nairobi, Kenya

- Analyzed genomic data to identify markers associated with disease resistance in maize, contributing to the development of resilient crop varieties. - Analyzed the population structure of plant varieties using Principal Component Analysis (PCA) concepts - Utilized bayesian methods and ridge regression using R Libraries to perform genomic prediction on plant datasets

Cornell University

Ph.D.•  August 2021 - Present

- Relevant Course Work: Data mining and Machine Learning Data Structures Statistics