FORGE: Network for Collaborative Intelligence - Northwestern University
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FORGE is NNCI’s emerging hub for applied, hands-on experimentation and collaboration, where data science, AI, and domain expertise come together to address real-world challenges. Bringing together students, faculty, staff, and industry partners who are exploring, experimenting, or ready to build, FORGE is designed to support work across all disciplines and levels of experience. 

Meet the FORGE Team

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Director of FORGE

Kristian J. Hammond

Bill and Cathy Osborn Professor of Computer Science
Director, Master of Science in Artificial Intelligence Program
Director, Center for Advancing Safety of Machine Intelligence (CASMI)

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FORGE Administrators

Harper Pack — Program Administrator, harper.pack@northwestern.edu

Lisa Myers — Capstone and Practicum Coordinator, MSAI, lisa.myers@northwestern.edu

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FORGE Team

FORGE Student Cohort Advisors:

Joshua DeAndria — Clinical Assistant Professor, Pioneer Professor of Practice

Anastasia Kurdia — Professor of Instruction, Assistant Chair

FORGE Organizers:

Abel Kho — Co-Director, NNCI, Director, Institute for Artificial Intelligence in Medicine, Professor, Medicine (General Internal Medicine), Preventive Medicine (Biostatistics and Informatics)

Jeff Stiers — Senior Director of Strategic Projects

Liz Blondel — Director of Operations, NNCI 

Sydney Hlavaty — Program Coordinator, NNCI 

Jim Bray — Executive Director, Corporate Engagement

Kate Rice — Director of Outreach and Operations, Corporate Engagement 

Sean Reynolds — Vice President for Information Technology and Chief Information Officer

Joe Paris — Associate Vice President of IT Services and Support

Lisa Dhar — Associate Vice President for Innovation and New Ventures

Mike Raab — Executive Director, The Garage 

 

The Forge fills an important gap between theory and practice by offering:

  • Space for collaboration
  • Access to enterprise‑grade tools and infrastructure
  • Mentorship from faculty and industry experts
  • Programmatic pathways for building, testing, and iterating
forge students

We have this groundswell of innovators. They're called students.”

Abel Kho, Co-Director of NNCI

Multi‑Audience and Interdisciplinary

FORGE cohorts bring together teams of 3–6 students to tackle faculty- and industry-guided challenges over an 8–10 week engagement. Working at the intersection of experimentation and real-world problem solving, students develop prototypes, analytical models, proof-of-concept demonstrations, and exploratory research findings. Each cohort culminates in a final poster session and celebration, where teams share their work with the broader NNCI and Northwestern community.

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Students

  • Gain hands‑on experience beyond coursework
  • Work in teams on meaningful problems
  • Build portfolios and mentor relationships
  • Connect with industry partners and infrastructure

GET INVOLVED IN A COHORT OR WORKSHOPS
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Faculty & Staff

  • Pilot ideas or explore applied extensions of research
  • Engage students in project-based collaboration
  • Connect with industry partners and infrastructure

EXPLORE OPPORTUNITIES FOR INVOLVEMENT
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Industry & External Partners

  • Engage with interdisciplinary student teams
  • Shape problem areas aligned with real‑world needs
  • Build early talent pipelines
  • Support workforce development and innovation

INDUSTRY ENGAGEMENT & SPONSORSHIP INQUIRY

FORGE Project Topics

Explore current and previous quarters of FORGE project topics.

FORGE Projects — Fall 26'

A Grounded AI Advisor for Non-Technical Business Leaders
A Human-Centered Approach to AI Adoption
From AI Pilots to Enterprise Scale: A Roadmap for AI Transformation
A Practical Scorecard for AI Readiness and Payoff
A Recommendation Engine for Audio Data
Sentiment Pulse and Investment Narrative Generator
A Repeatable Test for Choosing a Reliable AI Model
Automation Bots That Keep Working When Websites Change
Rules and Oversight for the AI Your Company Uses
AI Ethics Oversight Assistant for Emerging AI Systems
Benchmarking Off-the-Shelf Time-Series Models on Physics Data
Cell Segmentation Tracking
Timing Brain-Stimulation Pulses to the Brain's Rhythm in Real Time
Video Pose Estimation for ACL Injury Risk
Centralized Research Core Discovery Platform
Combining Multiple Cameras to Map Animal Movement in Detail
Internal Knowledge Hub
Sports Media Keepsaking App for Athletes
Evaluating Soccer Drills with Computer Vision
Evidence-Linked AI Retrieval for Post-Session Clinical Review
Exploring Distributed Inference at the Edge
Exploring Patient Data with Natural Language
Identification of Bias in Language
Identifying Effective Endometriosis Drug Treatments for Individuals
Identifying Where Medical Treatment Deviated from Best Practices
Intelligent Access to Community Health Resources
Interactive Tech Docs with Conversation and Video
Keeping Executive Healthcare Contacts Current with Agentic Workflows
LLM Pipeline for Structured Treatment Timeline Extraction
LLMs that Enhance Cognitive Skills
Matching Compliance Issues to Relevant Regulations and Evidence
Merging 3D Scans of the Eye for Robotic Surgery
Parkinson’s Disease Data Standardization and Preparation for AI
Early Identification of Speech and Language Difficulties
Question Answering System That Recognizes Uncertainty
Repurposing AI Matching Engine to Power Expert Networks
Running AI on Data That Stays Encrypted
Which Job Tasks Should AI Automate, Support, or Redesign?
From Data to Action: AI-Powered Signal Detection
Testing Brain Sensing in Smart Glasses and Earbuds
Treasury and Accounting Operations Platform
Understanding Interrelationships Between Biases Inside AI Models
Use of Medical Records in Diagnostics

FORGE Projects — Summer 26'

LLM Pipeline for Structured Treatment Timeline Extraction
Evaluating LLM Bias and Sycophancy
Patient-Facing Chatbot for Polypharmacy & Deprescribing Support
Centralized Research Core Discovery Platform
Community Resource Recommendation Chatbot for Community Health Workers
Integrating data taken from multiple cameras in the creation of a complete description of animal movement at both a macro and micro level.
Parkinson’s Disease Data Standardization and Preparation for AI
Cell Segmentation Tracking
EHR-Based AI for Clinical Diagnosis Identification
Integrating lab-based and real-world multimodal data for the prediction of ACL injury.
AI Use Protocols for Improving Cognitive Engagement
Develop a voice-guided recommendation engine for Says that enables off-screen discovery of personalized audio content through AI-powered voice interaction.
Sentiment Pulse and Investment Narrative Generator
AI-assisted screening of ophthalmology residency applications
Collecting and analyzing data related to pediatric speech and vocabulary disorders
Meeting Profile Development
Build natural language interfaces that let users query computing cluster performance metrics.
AI Model for Dermatopathology Image Classification

Industry Sponsors

says logo

Project Partner

Says is a Chicago-based platform focused on building audio-first experiences that are conversational, accessible, and designed for a world that does not rely on screens. 

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Foundry Sponsor

CGI Inc. is a global IT and business consulting services firm founded in 1976 that provides end-to-end technology, systems integration, and managed services to commercial and government clients worldwide.

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Project Partner

Kilwa is the intelligence layer for Africa's next wave of investment, turning live macroeconomic data, policy signals, and multilingual news sentiment across all 54 African markets into two answers institutions can act on.

Stay Connected

The Forge is evolving, and the best way to stay informed is to stay connected.