Alex Endert

Alex Endert is an Associate Professor and Associate Chair of Operations and Special Initiatives in the School of Interactive Computing at Georgia Tech. He directs the Visual Analytics Lab, focusing on interactive visual tools to aid in analyzing data and AI systems. His research addresses domains like cybersecurity, manufacturing safety, and intelligence analysis, supported by NSF, DOD, and industry grants. He holds a PhD from Virginia Tech (2012), winning top dissertation awards. His lab develops systems like SafetyLens and CAVA, and explores AI ethics in education and human trafficking contexts.

• Education: Ph.D. in Computer Science, Virginia Tech (2012)
• Affiliations: GVU Center, College of Computing

Research Interests: Visual Analytics, Human-centered AI, Ethical AI, Data Interpretation, and Collaborative Visualization. His work emphasizes tools that empower domain experts while mitigating cognitive biases. Recent projects include DeepSee for marine ecosystems, NL4DV for NLP-driven visualization, and Trust Junk for calibrating trust in AI systems.

Key Publications (2020–2025): Includes seminal work on cognitive bias mitigation (Lumos), causal inference visualization (CausalVis), and LLM-based analytics (NL4DV-LLM). Over 100+ peer-reviewed papers with 15+ recent articles highlighted above.

• Awards & Grants: NSF CAREER Award (2018), IEEE Dissertation Prize (2013), and sustained industry funding.
• Teaching: Courses on Information Visualization (CS4460/7450) and Visual Data Analysis (CS8803).

Lab & Impact: The Visual Analytics Lab hosts 13 alumni and current PhD students (e.g., Adam Coscia, Arpit Narechania), fostering interdisciplinary projects with partners like NASA and Caltech. Ongoing work includes ethical AI applications and AI-driven education systems.