May 12, 2026 CoE and BME co-Sponsored Biomedical STAR-AI Makerspace Hackathon

Co-sponsored by
Georgia Tech College of Engineering and
Wallace H. Coulter Department of Biomedical Engineering

STAR-AI Makerspace Hackathon
for All Georgia Tech Students and Post-Docs

Can you make it happen in 48 hours?

You are offered AI Makerspace from April 29 to May 10.

Real-World Impact by Experiential Learning and Problem Solving.

About the Hackathon

As the AI’s impact on biomedical engineering and healthcare unfolds, there is a need for Safe, Trustworthy, Actionable, Responsible AI (STAR-AI). The foundation of STAR-AI will start with training the next generation of AI engineers and scientists with Experiential Learning pedagogy. The Biomedical STAR-AI Makerspace Hackathon is a showcase of this new pedagogy in the AI Era.

AI Makerspace (PACE) Usage Cash Prizes Participation Certification Publication Opportunity

Registration

Up to five members per team (one team leader plus up to four others). Only the team leader registers. Each team submits a code repository, a technical report, and a poster.

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Hackathon Reporting

Each team will need to submit a poster and technical report by May 9, 2026 at 11:59 PM EST. The official poster template is available below.

Download Poster Template (PPTX)

May 12, 2026 – Day Activities

  • ACTIVITY-01 AI Megatrend
  • ACTIVITY-02 Experiential Problem-Based Learning (EPBL) in the AI Era
  • ACTIVITY-03 AI Makerspace Hackathon Poster Presentation
  • ACTIVITY-04 AI Makerspace Hackathon Oral Presentation
  • ACTIVITY-05 Networking Lunch

Full minute-by-minute schedule is in the May 12 Schedule PDF in the Event Documents section below.

Hackathon Flyer

Biomedical STAR-AI Makerspace Hackathon flyer

Download Flyer (PDF)

May 12 Schedule

May 12 Hackathon schedule

Download Schedule (PDF)

Location

Parker H. Petit Institute for Bioengineering and Biosciences,
Suddath Seminar Room 1128 ,
315 Ferst Dr NW, Atlanta, GA 30332

Parking

North Campus Parking Deck (W23)
State St NW, Atlanta, GA 30332

4 STAR-AI Makerspace Hackathon

Each team may select up to two topics.

TOPIC 1

Multi-Agent Multimodal RAG for Radiology Decision Support

Build agents that retrieve and reason across radiology images and reports, with calibrated abstention.

TOPIC 2

Robust Drug-Target Affinity for Precision Drug Discovery

Predict drug-target affinity under noisy real-world data and tight experimental budgets.

TOPIC 3 · CITI required

Safe Clinical Reasoning Agents for EHR-Based Diagnosis

Reason across EHR notes and tables with consistency checks and refusal when evidence is weak.

TOPIC 4 · CITI required

ICU Multi-Outcome Alarms for Critical Care Monitoring

Reduce alarm fatigue with multi-task models that stay fair across patient subgroups.

AI Makerspace Hackathon Requirements

Each topic uses one or more public datasets with specific access procedures. Topics 3 and 4 require completing CITI Training and PhysioNet credentialing before you can download data, which can take several business days. Start early.

View Full Data Access Requirements →

Topic Descriptions

For each of the four topics: the gap addressed, STAR-AI alignment, open datasets, and the multi-agent pipeline.

Topic1: Multi-Agent Multimodal RAG for Radiology Decision Support overview Topic1: Multi-Agent Multimodal RAG pipeline diagram Topic2: Robust Drug-Target Affinity for Precision Drug Discovery overview Topic2: Robust Drug-Target Affinity pipeline diagram Topic3: Safe Clinical Reasoning Agents for EHR-Based Diagnosis overview Topic3: Safe Clinical Reasoning Agents pipeline diagram Topic4: ICU Multi-Outcome Alarms for Critical Care Monitoring overview Topic4: ICU Multi-Outcome Alarms pipeline diagram

Questions

Contact the organizing team: bmarteau3@gatech.edu, mnnamdi3@gatech.edu, jtamo3@gatech.edu.