Work and Research Experiences

Applied Data Scientist

Civis Analytics, Washington DC. (Apr. 2018 – pres.) Develop shiny applications for external clients, built models for digital outreach base on survey data

Informatics Intern

Novartis (NIBR), Cambridge, MA (Feb. – Oct. 2017)

Customized tools in R to systemize automation of QC and cleaning/wrangling large-scale protein profiling data (up to 500 samples and 5000 features/sample) from RDBMS for scientists across departments, spearheaded platform informative-ness study across orthogonal platforms (RNA and protein) using clustering and regression, bootstrap and set analysis, visualize data via ggplot and SpotFire for publication, performed integrative network analysis. Bioinformatics Project Team member

University of Oregon, Eugene, OR (Sep. – Dec. 2016) Developed codeset in Python to analyze phage (virus) display sequencing data using differential analysis and site conservation algorithms to elucidate binding

specificity of human protein S100A5 to peptides.

Technical Specialist, DiaCarta, Richmond, CA (‘15-16) Served as technical liaison between R&D scientists, marketing, and regulatory teams, prepared application for laboratory licensure, drafted standard operating procedures, ran assays for R&D projects.

Assistant Manager, ApolloGen, Irvine, CA (‘13-15)

First hire of molecular diagnostics startup, performed sequencing for product validations, assisted

bioinformatician to automate sequencing analysis, led design team to develop logo and website

Researcher, Academia Sinica, Taipei, Taiwan (‘11-12) Performed molecular cloning and in-vitro assays of Heme-oxygenase I in HeLa cells.

Education

M.S., Applied Bioinformatics and Genomics Program

University of Oregon (2016-2017)

Coursework include Intro. to Artificial Intelligence, Advanced Biostatistics, programming boot camp (Python and R), genomics techniques/analysis, (GPA: 3.83)

B.A., Neurobiology and Music (double major)

University of California, Berkeley (2007-2011)

High Distinction in General Scholarship (GPA: 3.84), Dean’s Honor List, Phi Beta Kappa, Barbara M. Mathews Scholarship for Humanities recipient

Study Abroad, Independent research

University of Cambridge, Cambridge, UK (2009)

Philosophy of Artificial Intelligence in music composition Coursera Coursework:

• Machine Learning Foundations: Case Studies

• Machine Learning: Regression, Classification, Cluster and Retrieval (3 courses), University of Washington

• Machine Learning, Stanford University

• Df

Teaching and Leadership Experiences

Graduate Teaching Fellow, University of Oregon

Led two General Biology (BI211) lab sections, held office hours, graded assignments and exams.

Leader, composer, Undergraduate Composer’s Club, UC Berkeley, CA (2009-11)

Co-founder, Society of Taiwan, China, and US Affairs, UC Berkeley (2008-11)

Native fluency in Mandarin Chinese, Taiwanese,

extensive international travel (35 countries), lived and worked in Asia (2011-12), Adobe Illustrator, classical pianist and composer (composed 5 original acoustic works), GRE (Quantitative: 167/170, Verbal: 160/170) Publication

v

Yang S., Su W., Bao S. “Long-term, but not transient, threshold shifts alter the morphology and increase the excitability of cortical pyramidal neurons.” J

Neurophysiol. 2012 June 20.

Other Attributes

github.com/suwendy 714-***-**** linkedin.com/in/wendy-su 90 Waterston Ave, Quincy, MA

Relevant Skills

Proficiency in R (strong), SQL, Python, Shell, Linux/Unix environment, data manipulation and exploration,

statistical analysis, hypothesis testing, unsupervised and supervised ML techniques (PCA, clustering, regression, classification), data visualization (RShiny, ggplot, SpotFire), git, Amazon redshift

Wendy Su

Objective

A highly interdisciplinary data science professional interested in opportunities which utilizes statistical and machine learning to positively contribute to socially and economically impactful industries. ac6mjn@r.postjobfree.com

714-***-****

linkedin.com/in/wendy-su

github.com/suwendy

Contact this candidate