Irvine, California, USA
Support Vector Machine
University of California Riverside
Bachelor of Science in Statistics
Health Data Science
Python, R, SQL
Dartmouth Machine Learning Club (Member)
QBS 146: Bioinformatics I, PSYC 174: Computational Neuroscience: Brain Engineering, COSC 189: Data Mining and Knowledge Discovery, QBS 136: Applied Epidemiological Methods, QBS 137: Applied Epidemiological Methods II
Computational Biology intern
Applying computational methods and approaches to drug development research in antibody engineering or small molecule drug discovery
"I am interested in applying machine learning and computational methods as a data scientist in the biotechnology industry. I aim to leverage my statistics knowledge and programming skills to evaluate and improve drug development. I strive to learn and stay up to date with the latest technology and algorithms to keep my skills fresh and translatable for the future."
RESEARCHER I ADMIRE
"I chose QBS because it allows me to connect and network with the great faculty and students in this program."
FAVORITE QBS CLASS
QBS 108: Applied Machine Learning