About Me and what I'm up to:
I'm a data scientist / data engineer at a large academic health system and school of medicine. After grad school I worked in academic public health, but now the focus of my applied, academic, and teaching efforts is around using EMR data.
Here are some cool things I've worked on:
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Worked with our ACO and their CCLF data to design a program for combining Part A and Part Bclaims lines into service groups for calculating total attributable cost of care
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Looked at the feasibility of providing granular, accurate total price estimates out of the EMR for patients
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Designed and programmed a PHI-safe driving distance estimator to estimate patient to health facilities
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Designed and implemented enterprise risk-score architecture for our data warehouse
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Developed & validated a computable phenotype for ERAS patients --published
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Designed, programmed, and implemented a probabilistic matching algorithm for supplementing EMR vital status with external data --talk given Epic UGM 2017
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Subsequently open-sourced vital status match code --talk given NCHICA 2019
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Created and taught semester-long EMR data/methods curriculum for grad students
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Worked with analytics start-up to co-develop a commercial readmission model
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worked with a large, privately-health software company to explore co-development of commercial models for various outcomes in DM II