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Nicholas Deas Email & Phone Number
Graduate Research Assistant
at
Columbia Engineering
1 work email found
@clemson.edu
LinkedIn matched
✓ Verified August 2026
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Current company
Role
Graduate Research Assistant
Location
New York, United States
Company size
Who is Nicholas Deas? Overview
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Nicholas Deas is listed as Graduate Research Assistant at Columbia Engineering, a with 741 employees, based in New York, United States. AeroLeads shows a work email signal at clemson.edu and a matched LinkedIn profile for Nicholas Deas.
Nicholas Deas previously worked as Jr. Data Scientist at Giant Oak, Inc. and Clemson Capstone Data Scientist at Giant Oak, Inc.. Nicholas Deas holds Doctor Of Philosophy - Phd, Computer Science (Natural Language Processing) from Columbia Engineering.
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Email format at Columbia Engineering
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{first_initial}{last}@clemson.edu
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Profile bio
About Nicholas Deas
I am a second-year Computer Science PhD student at Columbia University advised by Professor Kathleen McKeown. My research interests broadly lie in the intersection of Natural Language Processing and the social sciences, including language model biases and fairness as well as computational methods and applied NLP to the social sciences. In particular, my work has investigated topics such as social bias in language generation, automated analyses of political rhetoric and mental health on social media, and interpretable emotion classification.
Listed skills include Python, Google Cloud Platform, Graphic Design, Java, and 13 others.
Current workplace
Nicholas Deas's current company
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Columbia Engineering
11 roles
Nicholas Deas work experience
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Graduate Research Assistant
Graduate Research Assistant
Advisor: Professor Kathleen McKeownResearch focus lies at the intersection of Natural Language Processing and Social Science, in particular, the application of NLP to psychology, political science, and sociology as well as language model biases and fairness.
Jr. Data Scientist
Giant Oak, Inc.
Trained and evaluated Named-Entity Recognition (NER) and topic modeling architectures for multilingual web contentConducted experiments on models and systems examining performance, costs, and predictive value
Jan 2022 - Aug 2022
Clemson Capstone Data Scientist
Giant Oak, Inc.
Explored methods of named-entity recognition for multi-lingual web dataProposed and developed an state-of-the-art ensemble system for indexing web pages that was faster more accurate than publicly available systemsBuilt and evaluated the ensemble system that will be implemented by Giant Oak
Aug 2021 - Dec 2021
Machine Learning Research Assistant
Modifying the probabilistic Embedded Topic Model to consider document authors as well as the documents themselvesDeveloped Twitter API interface tool for research data collectionContinued work on speech recognition correction with transformer-based architecture
Aug 2021 - Aug 2022
Undergraduate Ci Social Psychology Researcher
Leading study using natural language processing to detect psychological constructs like mattering in mental-health related Reddit postsWorked with team of 12 students on 5 other studies examining Greek Life during the pandemic, perceptions of mask and vaccine mandates, psychological mattering, and the suicidal behavior modelsPresented research on mass shootings, mask perceptions, mattering, and suicidality at national psychology conferences (SSSP 2020, 2021, 2022 & SEPA 2022)Creating team website for documenting our work
Aug 2020 - Aug 2022
Undergraduate Ci Machine Learning Researcher
Programmatically scraped over 2 million political tweets from past and current House of Representatives members.Developed and evaluated machine learning models to detect attack sentiment, topic, and disagreement content in political tweets.Co-wrote 2 research papers under review and 3 poster presentations on results (Presented at MPSA 2019 & 2022).
Aug 2018 - May 2022
Natural Language Processing Research Intern
Developing novel natural language processing model architecture to correct speech recognition system outputs.
May 2020 - Aug 2021
Ci Research Accessibility Intern
Developed an interactive demo and 2 blog posts for machine learning research done in the Creative Inquiry Undergraduate Research program
Jan 2020 - May 2020
Machine Learning Research Intern
Developed novel machine learning model training workflow involving Active Learning and strategic sampling methods to increase model training efficiency and performance.Gave 6 weekly presentations on research progress and technical background knowledge.Created and gave poster presentation at summer research colloquium (Poster attached).
May 2019 - Aug 2019
4 education records
Nicholas Deas education
Doctor Of Philosophy - Phd, Computer Science (Natural Language Processing)
Bachelor Of Science - Bs, Computer Science & Psychology
No Certificate - Study Abroad
Education record
FAQ
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What company does Nicholas Deas work for?
Nicholas Deas works for Columbia Engineering.
What is Nicholas Deas's role at Columbia Engineering?
Nicholas Deas is listed as Graduate Research Assistant at Columbia Engineering.
What is Nicholas Deas's email address?
AeroLeads has found 1 work email signal at @clemson.edu for Nicholas Deas at Columbia Engineering.
Where is Nicholas Deas based?
Nicholas Deas is based in New York, United States while working with Columbia Engineering.
What companies has Nicholas Deas worked for?
Nicholas Deas has worked for Columbia Engineering, Giant Oak, Inc., and Clemson University.
How can I contact Nicholas Deas?
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What schools did Nicholas Deas attend?
Nicholas Deas holds Doctor Of Philosophy - Phd, Computer Science (Natural Language Processing) from Columbia Engineering.
What skills is Nicholas Deas known for?
Nicholas Deas is listed with skills including Python, Google Cloud Platform, Graphic Design, Java, Css, Data Collection, Amazon Web Services, and Technical Presentations.
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