Human-Centered Artificial Intelligence (HAI) Lab

Dr. Weidan Cao is an Assistant Professor in the Department of Biomedical Informatics at The Ohio State University College of Medicine. She leads The Ohio State University Human-Centered AI (OSU HAI) Lab. Dr. Cao’s research focuses on AI-empowered remote patient monitoring, AI-enabled clinical decision support system development and evaluation, mHealth apps/intervention engagement, the intended effects and unintended effects of mHealth apps/interventions, the usability and usefulness of mHealth apps for chronic disease management (e.g., cardiovascular diseases, cancer), patient engagement, doctor-patient communication, and cultural factors in health interventions.

Hi there! I am Pengqi (Eric) Wang, a PhD student in Computer Science and Engineering at OSU, advised by Prof. Ping Zhang and Prof. Weidan Cao. I received my MPhil degree from HKUST, and my BBA degree from HKBU. My research interests center on Human-Computer Interaction (HCI), with a particular focus on the design and evaluation of AI in Medicine and Healthcare.

I aim to investigate how AI technologies can support healthcare providers and patients in decision-making, remote monitoring, and clinical collaboration. By developing interactive systems and conducting empirical studies, my work seeks to enhance trust, transparency, and usability of AI in healthcare contexts, ultimately fostering safer, more effective, and human-centered medical practices.

Feel free to explore my Personal Website for more details.

Hi! I’m Lemeng Wang, a senior in Computer Science and Engineering with a Business minor at The Ohio State University. I conduct research under Prof. Weidan Cao and Prof. Wei-Lun (Harry) Chao, where my work focuses on human-centered AI and computer vision. I am particularly inspired by the potential of AI for Science and AI for Medicine & Healthcare, areas where intelligent systems can meaningfully support discovery, decision-making, and societal well-being.

My research interests lie at the intersection of AI, usability, and real-world impact. I am motivated by questions such as, how we can design AI systems that are intuitive, trustworthy, and aligned with human needs and how can advances in computer vision and multimodal learning help solve scientific and healthcare challenges. I strive to build AI that performs well technically while also respecting human context, promoting transparency, and contributing to solutions that genuinely help people.

Check out my Personal Website for more details.

I am Emma Chester, a Research Senior Technician in the AI in Medicine Laboratory at OSU where I collaborate with Dr. Weidan Cao and Dr. Ping Zhang. I received a B.S. in Computer Science and Engineering from The Ohio State University and have held both software/technical internships and healthcare positions. I intend to pursue a MD/MEng dual-degree, and during my gap year I am furthering my experience with research that intersects AI and medicine. My primary research interests include leveraging technology to bridge gaps in healthcare, specifically regarding individualized patient care and medical accessibility. My research focuses on identifying unmet needs of patients and providers and conceptualizing technological solutions that address these needs.