Sean C. Martin

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Contact Information:

Location: Oakland, California

website: phasedchirp.github.io

email: phasedchirp2718@gmail.com

phone: 1-510-301-2920

Education:

PhD, Linguistics. New York University (September 2015)

• Speech perception, quantitative methods, and using machine learning to understand cognitive processes.

BA, Linguistics. University of California, Los Angeles (May 2008)

Programming Languages:

Applied Statistics and Machine learning, Bayesian methods, Experimental Design, Data Visualization. Programming experience in R, Python, SQL, SAS.

Experience:

Kaiser Foundation Health Plan (Business Analyst Intermediate 5/17-4/19, Senior 4/19-present):

Data science and data engineering for large-scale healthcare data.

• Building interactive web-based tools using R, Shiny, and MS Synapse to enable self-service analytics for clinical staff seeking to evaluate program outcomes.
• Rebuilt and streamlined legacy data pipelines during large-scale expansion of data infrastructure to introduce consistent logic for claims data processing across all Kaiser regions.
• Integrated predictive modeling into data pipelines using SAS to forecast costs and service volumes for external claims.
• Built tools for interactive anomaly detection, visualization, and analysis in SAS and R.

Consultant (September 2015 – May 2017)

Worked with clients to build automated, reproducible, and interpretable data analysis pipelines addressing academic and business needs from ingesting raw data to interpretable output. Projects included:

• Bayesian modeling of individual behavior and contextual variability to examine how speakers use socio-linguistic features to construct and present ethnic identity.
• Designed/prototyped/iterated to deployment a web service for reproducible analysis of SEO data for RankScience. Deployed in production using Amazon’s Elastic Beanstalk platform.

Recurse Center (July 2016 – September 2016)

Self-directed continuing education in programming. Projects included:

• Prototype tools for real-time/streaming data analysis and machine learning in Haskell.
• Satirical random number generator using real-time Twitter data as an entropy source.

NYU Phonetics and Experimental Phonology (PEP) Lab (Lab Manager/RA May 2011 – September 2015)

• Developed data collection and analysis pipelines, consulting for students and faculty.
• Re-built tongue-shape analysis pipeline. Streamlined procedures and reduced space for user error.
• Migrated analysis pipelines to open-source tools.
• Investigated phonetic and phonological factors in non-native speech perception, supervised undergraduate RAs. PIs Lisa Davidson and Colin Wilson, NSF Grant 1052784

Publications:

Holiday, Nicole and Sean Martin (2017) Vowel categories and allophonic lowering among Bolivian Quechua–Spanish bilinguals Journal of the International Phonetic Association, 1-24.

Davidson, Lisa, Sean Martin, and Colin Wilson (2015) Stabilizing the production of nonnative consonant clusters with acoustic variability. Journal of the Acoustical Society of America, vol. 137 pp. 856-872

Wilson, Colin, Lisa Davidson, and Sean Martin (2014) Effects of acoustic-phonetic detail on cross-language speech production. Journal of Memory and Language, vol. 77, pp. 1-24