HOMETOWN
Beijing, China
LANGUAGES
English, Mandarin, Spanish
THESIS MENTOR
Dr. Brock Christensen
FAVORITE ALGORITHM
Support Vector Machine
FAVORITE Gene
BRCA1
GRADUATE INSTITUTION
University of Michigan-Ann Arbor
Master of Science in Biochemistry
UNDERGRADUATE INSTITUTION
Pacific Lutheran University
Bachelor of Arts in Political Economy
Bachelor of Science in Biology
PREVIOUS WORK EXPERIENCE
Dartmouth Hitchcock Medical Center
Fred Hutchinson Cancer Research Center
World Trade Center Tacoma
THESIS TITLE
Identification of epigenetic and genomic biomarkers for breast cancer subgroups using supervised machine- and deep learning approaches
CAREER TRACK(S)
Academia, Industry
AWARDS & TRAINING GRANTS
Burroughs-Wellcome Big Data in the Life Sciences Training Fellowship
Teaching Fellowship in Health Data Science
Recipient of the 4X Coding Competition Award
TECHNICAL EXPERTISE
Python, R, Matlab, Java/Android, Shell
EXTRACURRICULAR ACTIVITIES
Member of Dartmouth Machine Learning Club
Electives
COSC 178: Deep Learning, Natural Language Processing, COSC 175: Smartphone Programming, QBS 123: Biostatistics Consulting Lab
Publications
ORCID
Poster Presentations
Celebration of Biomedical Research at Dartmouth (2016-2018), Dartmouth Graduate Student Appreciation Week Poster Session (2016-2018)
Oral Presentations
My Interests
"My primary research interest is integrating epigenetic datasets for cancer subgroup identification and downstream characterization using machine learning. My most recent research projects are related to identifying somatic alteration biomarkers in breast cancer. My ongoing work includes profiling DNA methylation and transcriptomic profiles of triple negative breast cancer, the most aggressive tumor subtype, for biological discovery and predictive analytics."
Why QBS?
"QBS offers substantial opportunities in interdisciplinary research and learning. QBS aims to prepare graduate students with a comprehensive set of quantitative skills applicable to the basic and translational as well as computational sciences. By completing the core areas of the QBS curriculum, I feel well-prepared to conduct research in biomedical and health data science and mentor others about data science. The QBS curriculum entails much more than the traditional “classroom + exam” paradigm; it introduces students with practical experiences and enable students to become better scientists."
FAVORITE QBS CLASS
All of them--QBS courses REALLY changed my life
Life @ Dartmouth
WHEN I AM NOT IN LAB
"I develop web-based fun applications and participate in hackathons in big cities (or online!)."
