HOMETOWN
California, USA
LANGUAGES
English, Mandarin, Spanish
THESIS MENTORS
Dr. Todd MacKenzie & Dr. Christopher Amos
UNDERGRADUATE INSTITUTION
University of California Davis
Bachelor of Science Cellular & Molecular Biology
PREVIOUS WORK EXPERIENCE
Johnson & Johnson
Senior Clinical Research Associate
THESIS TITLE
Understanding the biological mechanisms of cancer development through pathway-based genomic and transcriptomic analyses using statistical and computational approaches on population-level genomics data for cancer prevention and therapeutics.
CAREER TRACK
Academia, Industry, Government
AWARDS AND TRAINING GRANTS
National Library of Medicine T32 Multidisciplinary Big Data to Knowledge Training Fellowship
TECHNICAL EXPERTISE
R, Python, PLINK, Bash LaTeX, Unix
EXTRACURRICULAR ACTIVITIES
Member of Dartmouth Analytics Club (QuantBlitz)
Electives
Publications
Poster Presentations
- Title (IEEE International Conference on Bioinformatics and Biomedicine, 2018 ,Madrid, Spain)
Oral Presentations
My Interests
"I am interested in working on and applying computational and statistical methods to understand the genetic influences of complex traits and diseases using genome-wide association studies, transcriptome-wide association studies, or any other ome-wide association study."
RESEARCHER I ADMIRE
Maryam Mirzakhani
Why QBS?
"I chose QBS for its interdisciplinary program that trains students in Epidemiology, Biostatistics, and Bioinformatics."
FAVORITE QBS CLASS
QBS 177/MATH 177: Methods of Statistical Learning for Big Data
Life @ Dartmouth
WHEN I AM NOT IN LAB
"I am hiking, running and cooking."