Sean Xiao Email & Phone Number | • Machine Learning PhD with extensive industrial experience of ads ranking /recommendation /personalization, machine learning algorithms and statistical modeling to solve complex quantitative problems; co-authored 15 peer-reviewed publications with 1400+ citations and 9 issued patents • Hands-on experience in tackling both structured and unstructured data at large scales, developing and implementing efficient machine learning models to solve real world problems Skills: - Statistical/Machine Learning Methods: Ads ranking/recommendation,, Deep Learning, Natural Language Processing, Computer Vision，Experimental Design, Bayesian Inference, A/B Testing, ANOVA, Classification, Regression, Clustering, Feature Engineering, Regularization, Dimensionality Reduction - Programming Languages and Tools: Python, Java, SQL, Matlab, Hadoop, Spark, AWS, Flask, Django

Sean Xiao

• Machine Learning PhD with extensive industrial experience of ads ranking /recommendation /personal...
San Francisco, California, United States

*50 free lookup(s) per month.

Sean Xiao’s Email seanx@coursera.org

Sean Xiao’s Phone Numbers

Get SEAN’s Phone Number (For Free)

Social Media

Sean Xiao’s Location San Francisco, California, United States

Sean Xiao’s Current Industry Coursera

Sean Xiao’s Prior Industry Facebook | Ubiquitous Energy | University Of Michigan

Find accurate emails & phone numbers for over 700M professionals.

Staff Machine Learning Engineer, Tech Lead

2022-01-01 00:00:00 - Present

Senior Machine Learning Engineer (Ai Ads Core Ml)

2019-01-01 00:00:00 - 2022-01-01 00:00:00

Lead Research Scientist/ Machine Learning Engineer

2016-01-01 00:00:00 - 2018-01-01 00:00:00

Graduate Student Research Assistant

2009-01-01 00:00:00 - 2015-01-01 00:00:00

No Skills Available

No Languages Available

Sean Xiao is a • Machine Learning PhD with extensive industrial experience of ads ranking /recommendation /personalization, machine learning algorithms and statistical modeling to solve complex quantitative problems; co-authored 15 peer-reviewed publications with 1400+ citations and 9 issued patents • Hands-on experience in tackling both structured and unstructured data at large scales, developing and implementing efficient machine learning models to solve real world problems Skills: - Statistical/Machine Learning Methods: Ads ranking/recommendation,, Deep Learning, Natural Language Processing, Computer Vision，Experimental Design, Bayesian Inference, A/B Testing, ANOVA, Classification, Regression, Clustering, Feature Engineering, Regularization, Dimensionality Reduction - Programming Languages and Tools: Python, Java, SQL, Matlab, Hadoop, Spark, AWS, Flask, Django