Our Team

Researchers, engineers, and educators advancing AI and education.

John Hines

CEO & NSF SBIR Principal Investigator

Educator and National Champion Debate Coach. NSF SBIR Principal Investigator advancing evidence-backed integration of AI into dialogue and debate-based educational practice. Carnegie Mellon University graduate. Perplexity AI Business Fellow and ASU+GSV AI Innovator.

Devin Gonier

CTO

Generative AI Research & Development Scientist with expertise in multi-agent systems. Masters from Columbia University in Machine Learning. Focus on multi-agent frameworks, fine-tuning, and deploying models for production environments.

Stefan Bauschard

Contributor

Actively involved in helping K-16 schools and communities understand AI's significance for the future of education. Course Instructor for AI & Society at UMW. Author of 'Humanity Amplified: The Fusion of Deep Learning and Human Insight.'

G. Thomas Goodnight

Contributor

Professor at USC Annenberg School for Communication since 2003. PhD in Communication from University of Kansas. Expertise in argumentation theory, public discourse, and the intersection of communication and technology.

P. Anand Rao

Contributor

Director, Center for AI and the Liberal Arts at University of Mary Washington. Over 23 years in higher education. Work integrates AI with humanities education, emphasizing critical thinking and debate as tools for navigating technological change.

Alan Coverstone

Contributor

National Speech & Debate Association. Focus on student voice and agency, youth development, and education for an AI future. Committed to advancing educational equity in K-12 and higher education.

Zachary Bamberger

Contributor

PhD student in the Decisions and Data Science Faculty at the Technion under Dr. Ofra Amir and Dr. Amir Feder, researching evaluating and generating persuasive arguments with emphasis on statistical methods, explainability, and human-computer interaction. MSc in Computer Science from Technion (thesis on Discourse-Oriented Language Modeling under Dr. Yonatan Belinkov). Previously at Google, where he worked on counterfactual generation with PaLM for bias assessment, on-device federated transformers (Google Speech Research), and offline RL for Google News and YouTube (Google Brain). Cornell University graduate in Computer Science and Operations Research, where he was a research assistant in Prof. Claire Cardie's lab working on Implicit Sentiment Analysis and Argument Mining.

Judah Goldfeder

Contributor

PhD candidate at the Creative Machines Lab at Columbia University, focusing on reverse engineering neural networks, meta learning, self-supervised learning, world models, scientific ML, and robotics. Previously at Google (applying RL to HVAC systems of large commercial buildings), Facebook AI Research (transformers for graph neural networks at scale), Twitter (production ads models), and Bar Ilan University (formal verification for gene interaction prediction). Organizer of workshops at ICML, NeurIPS, ACM e-Energy, Buildsys, and ECCV. Consultant for Dicta, an NLP research and education nonprofit focusing on Hebrew and related low-resource languages.

Allen Roush

Contributor

Lead AI Researcher specializing in LLM, NLP, Argument Mining, and Generative Art. Co-host of The Information Bottleneck Podcast.