Meet The Team
Tiffany Amariuta, PhD
Tiffany started her group at UCSD in July of 2022. For more information about her and the research focus of the group, please see the home, about, and publications pages.
Kai is a second-year undergraduate student studying Bioinformatics. He is currently working on multi-ancestry gene expression prediction models. His goal is to leverage computer science to democratize high-quality medicine and improve patient care outcomes. In his free time, Kai likes to surf with his friends and cook.
Krishna is a master's student in the Bioengineering department. He graduated from UC Santa Barbara in 2021, where he majored in Biochemistry-Molecular Biology. His current research project focuses on developing methods to identify genome-wide contributions to gene expression regulation. Krishna's hobbies include checking out new coffee shops and hiking.
Sivani is a second-year undergraduate student studying Bioinformatics. She is currently involved in a single-cell causal inference project and is studying gene expression prediction models. She aims to employ the intersection between computational models and genetic studies to contribute to improving disease prognosis and treatment. Sivani enjoys making music and reading.
Sujana is a second-year undergraduate majoring in Bioinformatics with a minor in Computer Science. Her current project involves using machine learning strategies to identify genome-wide regulators of gene expression. Her goal is to utilize computational tools to contribute to genetic disease therapy. In her free time, she enjoys cooking, movies, and exploring new cities.
Ciby is a fourth year undergraduate chemistry student at UCSD. Her research interests are in identifying causal cellular populations with eQTL analysis. Specifically, she aims to provide a powerful tool to isolate causal cells for immune-mediated diseases.
Ziqi is currently working as a bioinformatician and will become a PhD student in BISB program in the fall. Her research interest lies in developing computational and statistical methods to understand genetic contributions to diseases. Her current project focuses on investigating co-regulation across genes and cell types using GWAS and single-cell RNA-seq data. Ziqi enjoys spending her spare time in dog parks and zoos.