Yuan Luo

About Yuan Luo

Currently working at Google Ads to unlock and optimize user experience and advertiser value tied to locations, build robust infrastructure and high quality data for local ads. Leading Ads location group infrastructure, geo targeting data infrastructure, and geo location serving optimization using store signals.Headed data engineering and analytics effort at Facebook to develop early stage products in “mission impossible” emerging markets. The stealth project had an extremely high priority and was reviewed by Zuck directly.Headed data engineering team at Edmodo, where he initiated and led the \"data-to-action\" effort that programmatically consumed massive data and triggered user-facing actions that contributed greatly to user acquisition and engagement. He redesigned the entire data platform, created Edmodo\'s social recommendation system, and was responsible for building highly scalable email and push notification platforms.Entrepreneurship:Luo lost 40 lbs of fat in a 4-month period. His body transformation story and diet recipes have received hundreds of millions of cumulative views on internet and impacted millions of people to keep fit and stay healthy. He co-founded in 2013 a stealth startup which later became the well-known FitTime, helped the startup grow user base, architect web platform, launch mobile apps, define and implement product and marketing strategies. He then left the startup to finish his PhD.Academia:Luo is most known for the Hierarchical MapReduce research which inspired 10+ US patents. He received PhD in Computer Science from Indiana University. His research experience includes tech lead of multiple NSF/NASA funded projects at IU\'s Data To Insight Center, NoSQL database research at IBM T. J. Watson Research Center, eScience at UCSD. He was one of the youngest China-US visiting scholar. He was affiliated researcher of Pacific Rim Applications and Grid Middleware Assembly, co-founder and co-chair emeritus of PRAGMA Students. He was session chair/program committee member of the 23rd-27th PRAGMA Workshop. He has been on the technical program committee of CloudNet conference since 2013.15+ years experiences in research, teaching and engineering of distributed systems, cloud computing and big data. 10+ years of product innovation, user growth and marketing.

Experience

1. Software Engineer

   Google

   Jan 2018 — Present · Mountain View, CA, US

   Unlock and optimize user experience and advertiser value tied to locations. Robust infra and high quality data for local ads. Enrich business location data, make ads more relevant.

Education

• Jilin University

  B.S. and M.S., Computer Science

• Indiana University Bloomington

  Doctor of Philosophy (Ph.D.), Computer Science

Skills

• Big Data
• Java
• Research
• Extract, Transform, Load (Etl)
• Mapreduce
• Artificial Intelligence
• Social Media Marketing
• Linux
• Databases
• Grid Computing
• Data Intensive Distributed Computing
• Soa
• Software Engineering
• Perl
• Data Science
• Data Mining
• Cloud Computing
• C
• Programming
• Computer Science
• Mpi
• Fitness
• Data Provenance
• Parallel Computing
• High Performance Computing (Hpc)
• Data Analysis
• Workflow
• Airflow
• Hadoop
• Project Management
• Web Services
• Product Management
• Algorithms
• Xaas
• High Performance Computing
• Software Development
• Python
• Latex
• Mysql
• Distributed Systems