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Bioinformatician

Resume posted by thomaspatrickquinn in Scientific.

Desired position type: Freelance
Location: Syracuse New York, United States

Contact thomaspatrickquinn

Summary

Hey there! My name is Thom Quinn, and I am a student of medicine and amateur researcher at SUNY Upstate Medical University. I am fluent in the R scripting language which I use primarily to analyze high-dimensional genomic datasets. You can see a portfolio of some of my work at https://github.com/tpq/.

Education

MD SUNY Upstate Medical University: August 2011 to May 2016
Currently studying medicine at SUNY Upstate Medical University with extensive time devoted to medical research

BS SUNY New Paltz: August 2009 to May 2011
Graduated summa cum laude, obtaining a Bachelor’s Degree in Biology with a concentration in biotechnology

AS SUNY Orange: January 2007 to May 2009
Graduated summa cum laude, obtaining an Associate’s Degree in Science with a concentration in the biological sciences

 

Experience

R/Bioconductor

Fluency in the R scripting language with experience using several Bioconductor packages. Major Bioinformatic programming projects include the development of tools for predicting transcription factor binding motif disruptions by disorder-associated SNPs, mapping molecular interactions using multiple databases, and implementing high-throughput supervised machine learning with sample bootstrapping.

Bioinformatics

Familiarity using public data repositories including dbGAP, NCBI GEO, BioMart, and UCSC Genome Browser. Extensive time devoted to applying supervised machine learning in the classification of patients based on gene expression data, including the exploration of novel feature selection methods. Familiarity with clustering algorithms including hierarchical clustering and k-means clustering. Experience visualizing high-dimensional data through dimension reduction with methods such as principal components analysis.

 

Skills

  • R (4 years experience)

Specialties

    Bioinformatics, Biotechnology, genomics, Machine Learning, R

Spoken Languages

    English