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The AI revolution: DePaul University faculty discuss risks, benefits and innovations of artificial intelligence

Scholars in computing, education, marketing, law and healthcare available for interviews

artificial intelligence
DePaul University faculty are available to discuss the risks, benefits and innovations of artificial intelligence. (iStock/CHOLTICHA KRANJUMNONG)
CHICAGO — As artificial intelligence reshapes how we learn, work and live, DePaul University faculty across multiple disciplines are helping make sense of its effect. From software development and healthcare systems to education policy and advertising ethics, these experts offer valuable insights for journalists covering AI.

To request an interview, contact the expert directly or email newsroom@depaul.edu for assistance.

EDUCATION

Associate Professor, Teacher Education
How AI is used in K–12 and higher education
Personalized learning and assessment tools
Legal and ethical challenges of AI in education
Responsible and equitable integration of AI for special education and counseling

SCIENCE, TECHNOLOGY, SOFTWARE & SECURITY

Assistant Professor, Computing
AI in software engineering: code generation, refactoring and maintenance
Security applications of AI in detecting vulnerabilities
Ethics of automated coding and human-AI collaboration in programming

Assistant Professor, Computing
Deep learning, neural networks, and transformer models
Large language models (GPT, BERT) and inference techniques
AI in drug discovery and biomedical applications
Theoretical AI foundations and optimization methods

Professor, Physics and Astrophysics
Using AI to design scientific experiments
Predictive modeling in physics and engineering
AI applications in building electrical, mechanical and optical systems

Professor, Computer Science
Chair, AI Program
Director, AI Institute
Director, Center for Web Intelligence
Generative AI and recommender systems
Personalization algorithms and machine learning ethics
Risks, regulation and future directions in AI development
Academic leadership in AI education and policy

Assistant Professor, Computing
How AI affects human connection, media and self-perception
Cognition-aware technology and creative uses of generative AI
AI in wearable tech and edge computing
Cultural implications of human-AI interaction

HEALTHCARE & HEALTH CARE INFORMATICS

Assistant Professor, Management and Entrepreneurship
Co-Director, Master’s in Business Analytics Program
AI-powered optimization in healthcare logistics, pharmacy operations and patient scheduling
Public health and AI-driven service design
Predictive modeling for patient satisfaction, access, and equity in healthcare delivery
AI for sustainable operations and data-informed supply chain decisions

Assistant Professor, Computing
Chair, Master’s in Health Informatics Program
Robotics and conversational agents in healthcare
AI adoption for elder care and wearable health tech
Trust, energy use and bias in AI systems
Effect of AI on scientific reproducibility and health outcomes

Assistant Professor, Computer Science
Human-centered and responsible AI in medicine
Healthcare applications of machine learning
Human-in-the-loop and expert co-design in predictive modeling
Reducing bias in AI to better serve at-risk populations

BUSINESS, MARKETING, ADVERTISING & CONSUMER TECH

Associate Professor, Finance and Real Estate
AI’s effect on financial services and business strategy
Ethics and transparency in AI decision-making
AI and emerging technologies for economic equity (e.g., for migrant populations)
Data analytics, cryptocurrency and business innovation

Assistant Professor, Public Relations and Advertising
AI personalization and automation in marketing
Risks and ethics in AI-powered advertising targeting
Generative AI for brand content and social media
Consumer reactions and biometric applications (e.g., eye-tracking, facial recognition)

Associate Professor, Marketing
Director, Full-Time MBA Program
Psychological effect of AI on consumers and workers
Generative AI in business and education
Human-AI relationships and perception biases
How AI affects workplace behavior and personal interactions

LAW, POLICY & REGULATION

Raymond P. Niro Professor, Intellectual Property Law
AI inventorship and intellectual property law
Copyright, trade secrets and data usage in LLMs
Legal ethics and AI in law school and practice
Broader societal and governmental implications of AI adoption

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