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Vincent Emanuele II, PhD

Manager of Data Sciences, Wellcentive

Atlanta

Vincent Emanuele received a PhD in Electrical and Computer Engineering from Georgia Tech. His research involved the development and application of novel data science algorithms to a variety of areas in medicine and biology, including the analysis of genomic data, proteomic data, ECG data,
electrophysiological data, and the application of wavelets and neural networks to interpret data in high­throughput mass spectrometry experiments studying cervical cancer. This work led to several publications in refereed journals and a full patent application (in progress). After 6.5 years as a visiting researcher at the Centers for Disease Control and Prevention, he joined the team at Wellcentive, a leading Population Health Management company, in January 2013.

As Lead Data Quality Architect in 2013, Vincent developed the company strategy for data quality, researched entity resolution strategies, started a data quality/data management team, and designed and launched a data quality services offering. In the 19 months from Oct 2013 to Apr 2015, the Data Quality Services offering grew from 1 to 24 customers and surged well past the $1M revenue mark.

Further, Vincent drove the creation of the company’s first Data Governance Committee in 2014. The data governance committee is an interdisciplinary group of employees in the company that come together on a regular basis to review clinical mappings between different medical ontologies such as ICD9, SNOMED, CPT, LOINC, and so forth. In February 2015 Vincent became the Manager of Data Sciences, and in June 2014 he begin transitioning the DQ Services program to a new leader and moved on to found the Data Science team at Wellcentive.

Vincent founded the data science team at Wellcentive in August 2014. The data science team is the first R&D unit at Wellcentive, and is actively involved in bringing innovative applications to market in the areas of Suggestive Care, Healthcare System Benchmarking, and Natural Language Processing

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Learn to use Python as a powerful tool for analyzing and exploring data.

Teach at GA

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