Undergraduates at WID have the unique opportunity to participate in the research process at an interdisciplinary institution. Their important work advances the research mission of WID and provides an entry to the research world for students.
My work consists of completing a variety of administrative tasks that promote the VE Lab's projects.
The relationship between colors and concepts, and their link to information visualizations
Statistical and machine learning analyses on potato yields and susceptibility to diseases.
Assessing educational opportunities by exploring the relationship between perception and learning
Chemical Ecosystem Selection and The origins of Life Project
Mathematical modeling of intracellular viral life cycles
Optimization of CRISPR/Cas9 based therapeutics for neurodegenerative diseases
Set up and analyze qPCR samples for use in CAR T-cell identification in in vivo and in vitro samples.
Cellular reprogramming in order to induce a pluripotent state in the cells
Assist research software development, implementing a distributed variable batch size optimization
Use machine learning to analyze feed efficiency in cows
Epigenetics of heat stress memory in plants
Infer the ancestral sequences and states of the animal and plant virus sequences using various model