Summary
Overview
Work History
Education
Skills
Certification
Publication
Timeline
Generic

Wen Song

Silver Spring

Summary

Ms. Song is a highly skilled data scientist and programmer with extensive expertise in statistical programming, machine learning, and data visualization. She excels at providing valuable insights to federal agencies and public enterprises by utilizing advanced analytics techniques and leading teams of analysts in the implementation of cutting-edge technologies. Currently, at CMS, she spearheads three major initiatives: 1) developing an internal analytics platform that integrates and analyzes Medicare, Medicaid, and Marketplace data, offering interactive dashboards for non-technical users and curated datasets for analysts; 2) evaluating Medicare Advantage prior authorization algorithms to identify potential bias and recommend algorithmic improvements; and 3) pioneering a unique claims-based measure to assess functional limitations in the Medicare Fee-for-Service population.

Overview

16
16
years of professional experience
1
1
Certification

Work History

Data Scientist

Centers for Medicare and Medicaid Services (CMS)
09.2023 - Current
  • Lead the development of an internal CMS analytics platform designed to support robust data integration, advanced analytics, and AI-powered insights to address healthcare disparities
  • Led a pioneering CMS effort to evaluate algorithmic bias in AI-based decision systems used by Medicare Advantage (MA) plans for post-acute care needs assessment. The work aimed to ensure equitable healthcare access and mitigate disparities affecting different groups.
  • Design and implement scalable dashboard solutions to deliver real-time insights on healthcare utilization and enrollment patterns
  • Led the evaluation of advanced AI capabilities for potential integration into the EQUIPED system, including outlier detection algorithms, natural language processing for unstructured complaint and appeal data, and chatbots tools to enhance user onboarding

Senior Programmer/Manager

Econometrica, Inc.
12.2018 - 08.2023
  • Oversees the Open Payments compliance system design and implementation
  • Creates actionable studies to measure compliance with Open Payments regulation, leads tasks, develops SAS programs, and performs rapid-cycle analyses on an ongoing basis
  • Manages junior staff and performs quality assurance reviews on work products
  • Analysis of more than 150 data tables and billions of records using complex programming, turning large datasets into progressive ideas through creation of clear, compelling infographics, maps, and data visualizations
  • Owning the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards, driving key decisions and communicating key concepts to readers
  • Construction of a language model to analyze free-text data, providing a systematic approach to helping CMS understand this important contextual information
  • Implementation of machine learning and innovative artificial intelligence approaches, enhancing analytical toolkits available to clients

Senior Technical Specialist

ICF, Inc.
07.2009 - 11.2018
  • Built automated data processing and analysis codes using SAS and R, formed data validation and data quality control procedures, and responded to technical data assistance requests
  • Produced summary and analytical reports and documented quality assurance and control procedures
  • Conceptualization and design of a user-friendly tool to import and export data to and from an Enhanced HIV and AIDS Reporting System database, reducing validation time by 50 percent and eliminating processing errors
  • Development of interactive graphics and data visualizations of large, structured data in browser-friendly formats

Education

Master of Science - Information System

Johns Hopkins University
Baltimore, MD
05-2016

Master of Arts - Applied Statistics

Wayne State University
Detroit, MI
12-2008

Bachelor of Science - Information System And Information Management

Nanjing University of Finance And Economics
Nanjing, China
06-2005

Skills

  • Python/R/SAS Programming
  • Machine learning
  • Big data analytics
  • Natural language processing
  • Feature engineering
  • Statistical analysis
  • Data wrangling
  • NoSQL databases
  • Large dataset manipulation
  • BI tools expertise

Certification

  • Coursera IBM Data Science Professional Certificate.
  • Microsoft Data Visualization Professional.
  • Snowflake certification.
  • SAS Certified Advanced Programmer.
  • SAS Statistical Business Analyst Using SAS 9: Regression and Modeling Credential.
  • Certified OCA Oracle Database SQL Expert.

Publication

  • Wang, Z., & Song, W. (2008). TW-37, a small-molecule inhibitor of Bcl-2, inhibits cell growth and invasion in pancreatic cancer. International Journal of Cancer, 123(4), 958–66.
  • Song, W., & Spado, D. (2018, September). Preparing and analyzing HINTS data in R. Presented at HINTS Data Users Conference, Bethesda, MD.
  • Tortora, R., & Song, W. (2018, May). Survey attrition in short term CATI panel surveys in Nigeria, Bangladesh and Myanmar. Presented at 2018 AAPOR Annual Conference, Denver, CO.
  • Iachan, R & Song, W. (2017, May). Sampling design and weighting refinements for the National Youth Tobacco Survey. Presented at 2017 AAPOR Annual Conference, New Orleans, LA.
  • Song, W. (2015, April). An efficient way to build up chains and waves for respondent driven sampling data. Presented at the SAS Global Forum 2015, Dallas, TX.
  • Song, W. (2014, March). Make it possible: Create customized graphs with GTL. Presented at the SAS Global Forum 2014, Washington, DC.
  • Song, W., & Khanna, K. (2013, April). Convert thousands of variables from character into numeric: The one-hour fix. Presented at the SAS Global Forum 2013, San Francisco, CA.
  • Chen, B., & Song, W. (2013, September). Automate your validation. Presented at NESUG 2013, Burlington, VT.
  • Song, W. (2013, September). Comprehensive codes that work for non-SAS people. Presented at NorthEast SAS Users Group (NESUG) 2013, Burlington, VT.
  • Song, W., & Khanna, K. (2012, September). An efficient method to create a large and comprehensive codebook. Paper presented at the 2012 Western Users of SAS Software Conference, Long Beach, CA.

Timeline

Data Scientist

Centers for Medicare and Medicaid Services (CMS)
09.2023 - Current

Senior Programmer/Manager

Econometrica, Inc.
12.2018 - 08.2023

Senior Technical Specialist

ICF, Inc.
07.2009 - 11.2018

Master of Science - Information System

Johns Hopkins University

Master of Arts - Applied Statistics

Wayne State University

Bachelor of Science - Information System And Information Management

Nanjing University of Finance And Economics
Wen Song