Insights

Strategic Growth The department is expanding its research and facilities with multi-million dollar investments and global partnerships, signaling readiness for new collaborations, sponsored research, and enterprise IT or data infrastructure needs.

Tech Stack Complement Utilizes a mix of development, analytics, and deployment tools (Ubuntu, Apache, Google Analytics, FormAssembly, Autodesk Build) indicating opportunities in cloud, cybersecurity, data integration, and workflow automation solutions.

Research Collaboration Strong cross-disciplinary research areas (ML, NLP, robotics, systems, computation biology) create potential for joint programs, grant-based projects, and technology transfer partnerships with vendors offering HPC, AI tooling, and research-grade software licenses.

Funding Momentum Recent funding milestones and philanthropic support (Leinweber Foundation gift, $305M facility investment) suggest a favorable environment for large-scale tech infrastructure deployments and long-term service contracts.

Public Engagement Expanding initiatives to bring AI training to libraries and community colleges indicates a channel for education tech, e-learning platforms, and scalable enterprise licenses targeting public sector and academic outreach.

Princeton Computer Science Tech Stack

Princeton Computer Science uses 8 technology products and services including Bomgar, Ivanti, FormAssembly, and more. Explore Princeton Computer Science's tech stack below.

Bomgar

Identity And Access Management

Ivanti

IT Infrastructure & Operations Management

FormAssembly

Online Form Builders

Ubuntu

Operating Systems

Autodesk Build

Project Management

PHPUnit

Testing And Qa

Google Analytics

Web Analytics

Apache

Web Servers

Princeton Computer Science Email Formats	Example	Percentage
FLast@princeton.edu	JDoe@princeton.edu	84%
FirstL@princeton.edu	JohnD@princeton.edu	7%
Last@princeton.edu	Doe@princeton.edu	6%
First.Last@princeton.edu	John.Doe@princeton.edu	3%

Princeton Computer Science Email Formats

Example

Percentage

FLast@princeton.edu

JDoe@princeton.edu

84%

FirstL@princeton.edu

JohnD@princeton.edu

Last@princeton.edu

Doe@princeton.edu

First.Last@princeton.edu

John.Doe@princeton.edu

Frequently Asked Questions

What is Princeton Computer Science's official website and social media links?

Princeton Computer Science's official website is princeton.edu and has social profiles on LinkedIn.

What is Princeton Computer Science's NAICS code?

Princeton Computer Science's NAICS code is 6113 - Colleges, Universities, and Professional Schools.

How many employees does Princeton Computer Science have currently?

As of July 2026, Princeton Computer Science has approximately 77 employees across 2 continents, including North AmericaAsia. Key team members include Cos126 Lab Ta: N. B.. Explore Princeton Computer Science's employee directory with LeadIQ.

What industry does Princeton Computer Science belong to?

Princeton Computer Science operates in the Higher Education industry.

What technology does Princeton Computer Science use?

Princeton Computer Science's tech stack includes BomgarIvantiFormAssemblyUbuntuAutodesk BuildPHPUnitGoogle AnalyticsApache.

What is Princeton Computer Science's email format?

Princeton Computer Science's email format typically follows the pattern of FLast@princeton.edu. Find more Princeton Computer Science email formats with LeadIQ.

Princeton Computer Science

Q: How many employees does Princeton Computer Science have currently?

Princeton Computer Science has approximately 77 employees.

Q: What technology does Princeton Computer Science use?

Princeton Computer Science's tech stack includes Notion, Oracle Business Process Management, Rocky Linux, Django, git.

Q: What is Princeton Computer Science's NAICS code?

Princeton Computer Science's NAICS code is 6113 (Colleges, Universities, and Professional Schools).

Higher EducationUnited States51-200 Employees

Princeton Computer Science is the Department of Computer Science at Princeton University, within the Princeton Engineering school. It oversees a broad research agenda spanning theory, networks and systems, vision and graphics, architecture and compilers, programming languages, technology policy, machine learning, natural language processing, human-computer interaction, robotics, and computational biology. The department operates as part of Princeton University, a higher education institution in Princeton, New Jersey, with a mission centered on education and discovery. 

Its primary audience includes undergraduate and graduate students and researchers who participate in its research programs and collaborations. Based in Princeton, New Jersey, the department maintains a substantial faculty, contributing to computer science education and research within the higher education sector.

Insights

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