Abigail Obille
My research utilizes machine learning models to analyze soil microbiome sequencing data, predicting microbial community shifts under different fertilizer treatments to optimize sustainable agricultural practices.
My research utilizes machine learning models to analyze soil microbiome sequencing data, predicting microbial community shifts under different fertilizer treatments to optimize sustainable agricultural practices.
I am researching how people’s perception changes based on alpha waves through EEG and eye-tracking, and am investigating how perceptual processing has an impact on emotion recognition skills.
Computational skills with Data Analysis of finding unique cells of databases
I am researching the various effects of neuronal expression of the P3 peptide using a Drosophila model.
Localization of spindle assembly checkpoint components.
Investigating the molecular mechanism of IGF2BP3 upregulation on target oncogene and relation to m6A modification
I am understanding the functional role of tumor suppressor protein p16 in the cell cycle.
Studying the consequences of enteric viral infection, specifically Astrovirus, on oral tolerance by examining goblet cell-associated antigen passages (GAPs) and their role in gut immunity.
Director, STEM Diversity Research Programs Email: yuli@ucsc.edu Office Location: JBE 135
Email: holman@ucsc.edu
Lab: Ted Holman Research Lab
Office: Physical Sciences Building, 250