Quang Duong

About Quang Duong

Since early 2018, I have been building and managing a new team responsible for developing a crowd-sourcing platform for medical labeling and diagnoses in Health, a new healthcare division at Google. The platform\'s output of high quality labeled data, generated securely and reliably at scale, is imperative to Google Health\'s efforts in building and deploying state-of-the-art machine-learning-powered diagnostic and health-outcome prediction solutions. I direct this cross-functional effort of 20+ engineers (front-end, back-end, data quality), product/program managers, and UX designers/researchers. I develop the team\'s strategic visions as well as engineering directions and overall architecture, assemble, manage and coach the engineering team, and oversee the platform\'s data compliance (HIPAA), security and quality management service (QMS) efforts.Example medical ML breakthroughs enabled and powered by the platform:[Nature/Radiology] http://shortn/_SaBPqXDeyx[JAMA/Ophthalmology] https://bit.ly/33Nufzo[Nature Medicine/Radiology] https://go.nature.com/2LSMaAz[Google blog post/Dermatology] https://ai.googleblog.com/2019/09/using-deep-learning-to-inform.html[Authored paper in KDD workshop \'19] https://bit.ly/2BpzfhAFrom 2014 to 2018, I led and managed a 6-person data quality team of engineers and data scientists at Google Maps to build machine learning time-series models that detect and predict visit patterns useful in assisting users to plan their trips efficiently and discover new places. I not only led the data quality engineering efforts, but also developed and directed product visions, UI engineering, and UX designs in creating novel products that directly address users\' needs. Example press coverage of our products:[Authored on Google blog] https://cnb.cx/2yjPx8o[Guardian] https://bit.ly/2fNPVpB[Time] http://time.com/39•••70/google-lines/During my 1 year on the Google+ team, I specialized in designing experiment frameworks and experiments for social behaviors, and building machine-learning solutions for various ranking and recommendation problems.I received my Ph.D.in Computer Science and Engineering from the University of Michigan, Artificial Intelligence Lab. I received a Bachelor degree in Computer Science and Economics from Harvard University.Specialties: engineering management, data quality, applied machine learning, time series analysis, social network analysis, artificial intelligence, behavior modeling, product management

Experience

1. Senior Staff Software Engineer

   Google

   Apr 2021 — Present

   Research and development infrastructure for medical ML-based products

Education

• University of Michigan

  PhD, Computer Science - Intelligent Systems

  2007 — 2012

• Harvard University

  Bachelor of Arts, Computer Science and Economics

  2005 — 2007

• University of Arkansas

  B.S, Computer Science

  2003 — 2005

Skills

• Mysql
• Distributed Systems
• Computer Science
• Multi-Agent Systems
• Java
• Perl
• Data Mining
• Algorithms
• C++
• Unix
• Artificial Intelligence
• Programming
• R
• Machine Learning
• Python
• Latex
• E-Commerce
• Research
• Social Networking
• Matlab
• Linux
• Php