{"id":2378,"date":"2019-04-10T20:45:50","date_gmt":"2019-04-11T00:45:50","guid":{"rendered":"https:\/\/geiselmed.dartmouth.edu\/qbs\/?page_id=2378"},"modified":"2024-05-06T13:45:03","modified_gmt":"2024-05-06T17:45:03","slug":"davidchen","status":"publish","type":"page","link":"https:\/\/geiselmed.dartmouth.edu\/qbs\/people\/davidchen\/","title":{"rendered":"David Chen"},"content":{"rendered":"

\"\"<\/p>\n

<\/i>LinkedIn<\/strong><\/span><\/a> <\/i>GitHub<\/strong><\/span><\/a><\/i>Thesis lab<\/strong><\/span><\/a><\/p>\n

\n
\n

HOMETOWN<\/span><\/strong><\/span>
\nBeijing, China<\/strong><\/span><\/p>\n

LANGUAGES<\/span><\/strong>
\nEnglish, Mandarin, Spanish<\/strong><\/span><\/p>\n

THESIS MENTOR<\/span><\/strong>
\nDr. Brock Christensen<\/strong><\/span><\/a><\/p>\n

FAVORITE ALGORITHM<\/span><\/strong>
\nSupport Vector Machine<\/strong><\/span><\/p>\n

FAVORITE Gene<\/span><\/strong>
\nBRCA1<\/strong><\/span><\/em><\/a><\/p>\n<\/div>\n

\n

GRADUATE INSTITUTION<\/span><\/strong>
\nUniversity of Michigan-Ann Arbor<\/span><\/strong><\/span>
\nMaster of Science in Biochemistry<\/em><\/p>\n

UNDERGRADUATE INSTITUTION<\/span><\/strong>
\nPacific Lutheran University<\/span><\/strong><\/span>
\nBachelor of Arts in Political Economy<\/em>
\nBachelor of Science in Biology<\/em><\/p>\n

PREVIOUS WORK EXPERIENCE<\/span><\/strong>
\nDartmouth Hitchcock Medical Center<\/b><\/span><\/span><\/p>\n

Fred Hutchinson Cancer Research Center<\/b><\/span><\/p>\n

World Trade Center Tacoma<\/b><\/span><\/p>\n<\/div>

DARTMOUTH QBS PROFILE<\/strong><\/span><\/p>\n

THESIS TITLE<\/span><\/strong><\/span>
\nIdentification of epigenetic and genomic biomarkers for breast cancer subgroups using supervised machine- and deep learning approaches\u00a0<\/span><\/strong><\/p>\n

CAREER TRACK(S)<\/span><\/strong>
\nAcademia, Industry<\/span><\/strong><\/p>\n

AWARDS & TRAINING GRANTS<\/strong>
\nBurroughs-Wellcome Big Data in the Life Sciences Training Fellowship<\/strong><\/span>
\nTeaching Fellowship in Health Data Science<\/strong><\/span>
\nRecipient of the 4X Coding Competition Award<\/strong><\/span><\/p>\n

TECHNICAL EXPERTISE<\/span><\/strong>
\nPython, R, Matlab, Java\/Android, Shell<\/span><\/strong><\/p>\n

EXTRACURRICULAR ACTIVITIES<\/span><\/strong>
\nMember of Dartmouth Machine Learning Club<\/span><\/strong><\/p>\n

<\/div><\/p>\n

<\/div><\/p>\n

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\n

QBS PhD Experience<\/strong><\/span><\/p>\n

Electives<\/span><\/strong><\/span>
\nCOSC 178<\/a>: Deep Learning, Natural Language Processing,\u00a0COSC 175<\/a>: Smartphone Programming,\u00a0QBS 123<\/a>: Biostatistics Consulting Lab<\/strong><\/span><\/p>\n

Publications<\/span><\/strong><\/span>
\n<\/i>ORCID<\/strong><\/span><\/a><\/span><\/p>\n

Poster Presentations<\/span><\/strong><\/span>
\nCelebration of Biomedical Research at Dartmouth (2016-2018), Dartmouth Graduate Student Appreciation Week Poster Session (2016-2018)<\/span><\/p>\n

Oral Presentations<\/span><\/strong><\/span><\/p>\n

<\/div><\/span><\/p>\n

\n

\n

My Interests<\/span><\/strong><\/span><\/p>\n

\"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.\"<\/em><\/p>\n<\/div> <\/div>

\n
\n

Why QBS?<\/span><\/strong><\/span><\/p>\n

\"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 \u201cclassroom + exam\u201d paradigm; it introduces students with practical experiences and enable students to become better scientists.\"<\/em><\/p>\n

FAVORITE QBS CLASS<\/span><\/strong><\/span>
\nAll of them--QBS courses REALLY changed my life<\/b><\/span><\/p>\n<\/div>\n<\/div>

\n
\n

Life @ Dartmouth<\/span><\/strong><\/span><\/p>\n

WHEN I AM NOT IN LAB<\/span><\/strong>
\n\"<\/em>I develop web-based fun applications and participate in hackathons in big cities (or online!).\"<\/em><\/p>\n

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