Wei Xiao Email and Phone Number
Wei Xiao work email
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Wei Xiao personal email
Wei Xiao phone numbers
I am an experienced scientist with demonstrated research (500+ Citation on Google Scholar) and industrial experience in NLP, machine learning and deep learning. （目前没回国打算） Key highlights:● Speciality: Large Language Models, NLP (NLU, summarization, conversational AI, text classification, QA), Responsible-AI, Recommendation System, Statistics (model/variable selection, survival analysis, causal inference, robust statistics, time series, PCA), Machine learning (online algorithm, anomaly detection)● Expert knowledge and hands-on experience of machine learning, big data, optimization, database operations and algorithm development. ● Very creative modeler who can solve real world problem and achieving business goals by thinking rigorously and applying cutting edge methods.● Passionate participant of data mining competitions (Kaggle, etc). ● Tools & Technologies: Python, Spark, Pytoch/Mxnet/Tensorflow, R, AWS, Scikit-learn, Matlab, C, SQL, SAS, Unix & Linux.My google scholar page: https://scholar.google.com/citations?hl=en&user=iCRvHeMAAAAJ&view_op=list_worksMy personal website: http://wxiao0421.github.io/aboutMy Github: https://github.com/wxiao0421
Amazon Web Services (Aws)
View- Website:
- aws.amazon.com
- Employees:
- 142019
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Senior Applied Scientist - Aws Ai LabsAmazon Web Services (Aws)United States
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Senior Applied Scientist, Manager - Aws Ai LabsAmazon Web Services (Aws) Jun 2022 - PresentSeattle, Wa, UsLead on Large Language Models research and development for Amazon Bedrock Titan project and Amazon Bedrock Team, which focuses on Responsible-AI. Responsible AI is an approach to developing, assessing, and deploying AI systems in a safe, trustworthy, and ethical way.Lead on project of AWS contact lens. Build AI algorithms to provide contact center analytics.
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Applied Scientist - Aws Ai LabsAmazon Web Services (Aws) Mar 2021 - Jun 2022Seattle, Wa, UsWork on project of AWS contact lens. Build AI algorithms to do extractive/abstractive dialog summarization.
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Applied Scientist - Alexa AiAmazon May 2020 - Mar 2021Seattle, Wa, UsDesigned and implemented a personalized recommendation system for Alexa third party skills on unclaimed utterances. -
Applied Scientist - Customer Service MlAmazon May 2017 - Apr 2020Seattle, Wa, Us● Built machine learning model to do customer entity/intent prediction at multi-stage of the customer service funnel. Improved customer's order/item prediction's accuracy by 51% and 187% in relative, and completely automated the contact wrapping process (saving estimated 400K+ hours of agent's handle time in US).● Built GPT2-based model to do dialog value estimation with multi-task learning and weak labels;● Built and launched algorithms to do concession abuser detection in 6 different marketplaces. It saves approximately 12.2 MM dollar per year based on online A/B testing.
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Research Statistician Developer, R&DSas Jul 2014 - Apr 2017Cary, Nc, Us● Consulted with clients from various industries (health care, manufacturing, energy, consumer product, etc) to help them build statistical models to predict asset failures or degradations.● Analyzed massive sensor data with machine learning methods (lag detection, dimension reduction, neural network, CART, random forest, etc) to discover root causes of asset failures.● Written SAS package to do signal procession with emphasis on time frequency analysis.● Proposed and developed novel methods in subspace tracking, online algorithm for nonparametric correlation, etc. Results in patents and new methods of SAS's product.● Published 5 papers and 4 patents -
Statistics Intern, R&DSas May 2013 - May 2014Cary, Nc, Us● Assisted the manager by writing SAS, R programs, and brainstorming ideas for analysis.● Proposed failure time models to do data-driven asset failure prediction in SAS Asset Performance Analytics product, which have been successful applied in various different projects.● Conducted empirical study to compare methods in the area of pharmacovigilance signal detection, including GPS, BCPNN, LRT.
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Statistics Intern, CsddQuintiles Jan 2012 - Dec 2012Durham, North Carolina, Us● Conducted simulation study to compare the efficiencies of fixed designs and adaptive designsfor dose-fi nding.● Analyzed real data provided by a client of Quintile for Parkinson's Disease.● Researched methods in the area of D-optimal design and structural failure time models.
Wei Xiao Skills
Wei Xiao Education Details
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North Carolina State UniversityStatistics -
Fudan UniversityStatistics
Frequently Asked Questions about Wei Xiao
What company does Wei Xiao work for?
Wei Xiao works for Amazon Web Services (Aws)
What is Wei Xiao's role at the current company?
Wei Xiao's current role is Senior Applied Scientist - AWS AI Labs.
What is Wei Xiao's email address?
Wei Xiao's email address is we****@****sas.com
What is Wei Xiao's direct phone number?
Wei Xiao's direct phone number is +191953*****
What schools did Wei Xiao attend?
Wei Xiao attended North Carolina State University, Fudan University.
What skills is Wei Xiao known for?
Wei Xiao has skills like R, Statistical Modeling, Data Mining, Statistics, Sas Programming, Data Analysis, Python, Matlab, Biostatistics, Machine Learning, Statistical Computing, Sql.
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