Andrew Wang
Applied Scientist at Amazon
City of Ithaca, New York, United States
Summary
👤
Senior🎓
Top SchoolAndrew Wang is an applied scientist with 11 years of experience building robust machine learning systems that operate in human environments, currently developing graph ML methods for recommendations and trust at Amazon. His work spans scalable graph neural networks, conversational analysis tooling (notably contributions to CornellNLP's ConvoKit), and fair ranking models for high-stakes domains like hiring. He blends deep research experience from Stanford and Cornell—including collaboration with Jure Leskovec—with hands-on engineering that improves production-ready libraries and data pipelines. Based in Ithaca, he brings a track record of turning large, evolving datasets and pragmatic linguistic signals into reproducible models and toolkits that augment human teamwork.
11 years of coding experience
1 year of employment as a software developer
PhD, Computer Science, PhD, Computer Science at Cornell UniversityMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
Github Skills (9)
lib10
python10
machine-learning9
nlp9
datastructures-algorithms8
algorithms8
data-structures8
algorithm8
data-structure8
Programming languages (2)
Github contributions (5)
CornellNLP/ConvoKit
Nov 2016 - Dec 2020
ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the use of the toolkit on these datasets.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 reviews, 160 commits, 1 PR in 4 years 1 month
Contributions summary:Andrew primarily focused on improving the `socialkit` library, particularly the `coordination` module. The commits demonstrate the development of new functionalities, including the addition of parameters to existing functions, and refactoring for better code consistency. Furthermore, the user implemented enhancements such as the dump function, which enables data saving in various formats.
nlpanalyzingconversationalconversational-aidataset
qema/nanosite
May 2016 - Jul 2019
Contributions:1 PR, 65 pushes, 1 branch in 3 years 2 months
pythonstatic-sitesite-generatormarkdownstatic-site-generator
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