John Stewart
Senior Vice President, Research And Measurement at Amplify
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolJohn Stewart is a research executive and computational linguist with over a decade of experience leading interdisciplinary teams that turn student work into actionable assessment and instructional insights. As Senior Vice President of Research and Measurement at Amplify, he oversees the design of NLP-based automated scoring, statistical models for interactive assessments, and rigorous field trials that drive K–12 curriculum development. He pairs a PhD in linguistics and a BA in literature with hands-on technical contributions to prominent open-source toolkits (notably improvements to NLTK’s perceptron tagger and integrations for the Classical Language Toolkit). Known for translating linguistic theory into production-ready evaluation systems, he also spearheads innovative digital ELA products such as an interactive graphic novel for close reading. Based in New York, he blends academic depth with product-focused execution across research, data science, and engineering.
10 years of coding experience
GCE O-Levels and A-Levels, Math, Science, History, GCE O-Levels and A-Levels, Math, Science, History at The New School, RomeBachelor of Arts - BA, Literature, Bachelor of Arts - BA, Literature at YaleDoctor of Philosophy (Ph.D.), Linguistics, Doctor of Philosophy (Ph.D.), Linguistics at City University of New York Graduate Center
English, Italian, french (level b2), spanish (level c2), Catalan
Stackoverflow
353reputation
56kreached
7answers
4questions
Github Skills (19)
python10
nltk10
machine-learning10
lemmatization10
morphology10
natural-language-processing10
nlp10
documentation8
numpy8
regex7
android-webview6
dependency-parsing6
opennlp6
android6
parsing6
Programming languages (11)
Github contributions (5)
cltk/cltk
Jul 2018 - Mar 2021
The Classical Language Toolkit
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:135 commits, 14 PRs, 109 comments in 2 years 8 months
Contributions summary:John primarily contributed to integrating Old English POS taggers into the CLTK core, improving the existing documentation, and correcting code. The user's commits show involvement in adding support for the Old English lemmatizer. The user also introduced the first pass at a new phonological rule syntax and implemented features in the orthophonology module for improved transcription.
nlplingpythonlatinnltk
nltk/nltk
Sep 2018 - Oct 2018
NLTK Source
Role in this project:ML Engineer
ML EngineerContributions:10 commits, 1 PR, 10 comments in 17 days
Contributions summary:John primarily focused on enhancing the averaged perceptron tagger within the NLTK library. Their commits include implementing a softmax-based scoring mechanism for the best tag, refactoring code, adding a switch for the tag dictionary, and fixing the train method. The changes directly impact the model's confidence and accuracy. Furthermore, the user addressed issues related to parenthesis and merged changes from the upstream development branch.
nlppythonmachine-learningnltknatural-language-processing
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