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Yang Meng Email & Phone Number
Applied Scientist, GenAI for Computer Vision
at
Amazon
1 work email found
@columbia.edu
LinkedIn matched
✓ Verified May 2026
4 data sources
Profile completeness 100%
Current company
Role
Applied Scientist, GenAI for Computer Vision
Location
Irvine, California, United States
Who is Yang Meng? Overview
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Quick answer
Yang Meng is listed as Applied Scientist, GenAI for Computer Vision at Amazon, based in Irvine, California, United States. AeroLeads shows a work email signal at columbia.edu and a matched LinkedIn profile for Yang Meng.
Yang Meng previously worked as AI Research & Scientific Application at Chan Zuckerberg Initiative and Multimodal Generative Modeling Research at Uc Irvine Donald Bren School Of Information And Computer Sciences. Yang Meng holds Doctor Of Philosophy - Phd, Statistics from Uc Irvine.
Company email context
Email format at Amazon
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{first}.{last}@columbia.edu
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Profile bio
About Yang Meng
✉️ mengy13@uci.edu ✉️ ym2696@columbia.eduWho I am:• Machine / Deep Learning & Generative AI Researcher• 3 Years of Industry Experience in Data Science• Ph.D. Student in Stats at UC Irvine (2022 - 2027 Expected)Technical skills I have:• Languages & Databases: Python (PyTorch, Pandas, Numpy, scikit-learn), PostgreSQL, MySQL, Redshift, Athena• Software: Tableau, AirFlow, R (dplyr, ggplot2, shiny)• Skills: Generative Models (Diffusion, VAE, GAN, Flows), Variational Inference, Large Language Model, Multimodal Text-to-Image Generation, Representation Learning, Interpretable Deep Learning, RNN, CNN, Random Forest, Decision Trees, Lasso Regression, XGBoost, PCA, SVM, MCMC, ClusteringMy daily life:• Bodybuilding• NBA
Listed skills include Python, Data Analysis, Team Building, Due Diligence, and 14 others.
Current workplace
Yang Meng's current company
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7 roles
Yang Meng work experience
A career timeline built from the work history available for this profile.
Ai Research & Scientific Application
Current- Generative AI (Dynamic Cell Environment)
- Representation learning & Biological Application
Oct 2024 - Present
Multimodal Generative Modeling Research
Current- Multimodal Generative Models (Image, Neuroscience, Cell Biology)
- Bayesian Deep Neural Network
Sep 2022 - Present
Machine Learning & Experimental Design
- Machine Learning & Data Visualization
- Experimental Design & A/B Testing
Nov 2021 - Aug 2022
Data Science Modeling & Business Analytics
- Database Management
- Web Scraping & ETL Pipeline Design
Sep 2020 - Oct 2021
Research Associate
- Statistical Testing in High-dimensional Spaces
- Survival Analysis
Jan 2020 - Dec 2020
Data Simulation & Modeling
Dec 2018 - Jan 2019
5 education records
Yang Meng education
Doctor Of Philosophy - Phd, Statistics
Uc Irvine
Master Of Arts - Ma, Statistics
Columbia University
Bachelor Of Sciences, Statistics
Zhejiang University
Exchange Student, Data Science
University Of California, Berkeley
Education record
Nanjing Foreign Language School
FAQ
Frequently asked questions about Yang Meng
Quick answers generated from the profile data available on this page.
What company does Yang Meng work for?
Yang Meng works for Amazon.
What is Yang Meng's role at Amazon?
Yang Meng is listed as Applied Scientist, GenAI for Computer Vision at Amazon.
What is Yang Meng's email address?
AeroLeads has found 1 work email signal at @columbia.edu for Yang Meng at Amazon.
Where is Yang Meng based?
Yang Meng is based in Irvine, California, United States while working with Amazon.
What companies has Yang Meng worked for?
Yang Meng has worked for Amazon, Chan Zuckerberg Initiative, Uc Irvine Donald Bren School Of Information And Computer Sciences, Varo Bank, and Yipitdata.
How can I contact Yang Meng?
You can use AeroLeads to view verified contact signals for Yang Meng at Amazon, including work email, phone, and LinkedIn data when available.
What schools did Yang Meng attend?
Yang Meng holds Doctor Of Philosophy - Phd, Statistics from Uc Irvine.
What skills is Yang Meng known for?
Yang Meng is listed with skills including Python, Data Analysis, Team Building, Due Diligence, R, Computer Science, Database Design, and Research.
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