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Data Medical

Location:
San Diego, CA
Salary:
$100,000
Posted:
July 23, 2015

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Resume:

Colleen M. Farrelly

acqv74@r.postjobfree.com *** C Avenue #12 Coronado, CA 92118 920-***-****

www.linkedin.com/in/colleenmfarrelly/

Summary of Qualifications

MS in Biostatistics with ~8 years of experience as a biostatistician/data scientist.

Background in machine learning algorithm development and applications, including trees, bagged/boosted ensembles, neural networks, and evolutionary algorithms. Experience with stochastic differential equation models, network analytics, and topological data analysis.

Phi Beta Kappa inductee with creative writing publications.

Education

University of Miami, Miami, FL

December, 2014. Master of Science in Biostatistics, GPA: 3.84

Marquette University, Honors College, Milwaukee, WI

May, 2009. Bachelor of Science in Biochemistry & Molecular Biology & Psychology, GPA: 3.83

Experience

Data and Statistical Specialist, Venesco LLC Naval Medical Center San Diego Dec 2014-July 2015

Application of methodology from stochastic differential equations and quantum mechanics to dynamically model population health behaviors and identify primary prevention targets.

New classification meta-algorithm developed that exploits the No Free Lunch Theorem and sampling theory (simulations to validate against other classification algorithms on big data).

New regularized neural network ensemble regression method developed for analysis of big data, including patient cost predictive modeling and intervention targeting (simulations show good performance against state-of-the-art machine learning regression methods).

Investigation and adaptation of Morse-Smale elastic net LASSO regression for public health data mining applications (simulations to validate).

Application of extensible Markov models for monitoring caseloads across clinic sites.

Geographic analytics pipeline use stochastic models and topological data analysis to identify areas with similar health patterns and identify pattern change over time.

Statistical learning algorithm development and application for medical use.

Clinical study design and analysis, plus validation of tree-based longitudinal data analysis methods for clinical trials.

Consulting Student Statistician, University of Miami Seth Schwartz, PhD Aug 2013-Dec 2014

Applied methodology from genomics to a factorially-designed identity measure to assess identity expression profiles (paper pending).

Investigated the performance of 6 k-means clustering algorithms under 54 simulated data conditions with application to a multisite dataset (paper submitted).

Assisted with a structural equation modeling and mediation analysis for a multisite, longitudinal project.

Consulting Statistician/Epidemiologist (Self-Employed) Oct 2014-Nov 2014

Worked on an Ebola scenario modeling project for a business contact in Mali (results given to Malian Ministry of Health officials) and a friend at Team Rubicon.

Consulting Student Statistician, University of Miami Daniel Feaster, PhD Sep 2012-Aug 2013; Mar 2011-Oct 2011

Explored the use of latent class analysis in the classification of drug use and sexual risk patterns within a National Institute of Drug Abuse clinical trial dataset.

Applied boosting and random forest algorithms to identify linear and nonlinear predictors of unprotected sex rates over a six-month period within a drug treatment clinical trial.

Wrote SAS code/programs in collaboration on the development and application of integrated data analysis to National Institute on Drug Abuse archived clinical trials.

Derived and simulated several mediation conditions in R to investigate the efficacy of several data mining algorithms to determine if these algorithms could identify variables in the direct and indirect paths simulated (paper in preparation).

Summer Internship Program, National Human Genome Research Institute Joan Bailey-Wilson, PhD Jun 2012-Jul 2012

Gained familiarity with the theory behind several statistical learning algorithms and their implementation through R and Unix scripts, as well as compiled a nontechnical presentation of these algorithms.

Graduate Research Rotations, University of Miami Guillermo Prado, PhD Nov 2011-Apr 2012; Nov 2009-Nov 2010

Reviewed literature on machine learning algorithms for application in genome-wide association studies, including k-nearest neighbors, enumerative searches, tree-based methods, ensemble methods, clustering, evolutionary algorithms, neural networks, RelieF. Identified potential areas for further development of tree-based and evolutionary algorithms to solve genomics data analysis problems.

Investigated the role of acculturation and family on adolescent risk behaviors in a high-risk sample.

Undergraduate Student Research Assistant, Marquette University Matthew Sanders, PhD; Gregory Fosco, PhD Aug 2006-Dec 2008

Analyzed behavioral and cellular data on differential expression of Cam-kinase-kinase-alpha in hippocampal regions of rodents following fear conditioning.

Conducted a supervised study of changes in alcohol consumption from high school to college among Marquette University freshmen.

Skills and Certifications

Proficient in R, SAS, Microsoft Excel, Microsoft PowerPoint, Microsoft Word.

Working knowledge of SQL, Stata, Weka, Haploview, SPSS, Microsoft Access.

Some knowledge of Python, MapReduce, Unix, MATLAB, MPlus, Quanto, PLINK, Hadoop.

Proficient in German, Language-Mining/Linguistic Pattern Recognition.

NOLS Wilderness Medicine Institute Training certifications.

Publications

Farrelly, Colleen, et al. "The role of acculturation and family functioning in predicting HIV risk behaviors among Hispanic delinquent youth." Journal of Immigrant and Minority Health 15.3 (2013): 476-483.

Creative Writing in The Transnational, PostPoetry, Four and Twenty, The Recusant, Step Away, RiverLit, The Casserole, Vine Leaves Literary, The Birds We Piled Loosely, Creatrix, Write Poetry Now!, Lake City Lights, The Voices Project, Edges Anthology, The Marquette Journal, The Marquette Tribune, ArLiJo, Torrid Literary.

Leadership & Service Activities

Recent Service Projects

oDisaster response training and preparation (Team Rubicon), Heroes on the Water kayak fishing trips, Out of the Darkness Community Walks, Vietnam Veterans Memorial Wall events, The Mission Continues local service projects, many others.

Honors/Awards

Honor Societies:

oPhi Beta Kappa (Arts and Sciences), Alpha Sigma Nu (Jesuit Honor Society for Academic Achievement and Service), Psi Chi (Psychology), Alpha Kappa Delta (Sociology), Alpha Epsilon Delta (Pre-Medicine), National Scholars Honor Society.

Academic Scholarship Awards:

oUniversity of Miami Dean’s Scholarship (MD/PhD award), Marquette University Ignatius Scholarship for Academic Excellence, Marquette University Magis Scholarship for Leadership, National Hispanic Science Network Travel Award, Kohler Company Scholarship, Aurora Health Foundation Jesse J. Traas Memorial Scholarship, Thrivent Financial for Lutherans Scholarship, St. Nicholas Hospital Auxiliary Scholarship.

Academic Achievement Awards:

oMarquette University Honors Program (1 of 100 selected from class of 2,000), Marquette University Arts and Sciences Superior Academic Achievement Award, Marquette University Dean’s List, National Dean’s List, Fulbright nomination.

Literary Awards:

oBest of Vine Leaves Literary 2014 Award, Lake City Lights Literary Journal Special Features (sonnet sequence projects).



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