Anatea Einhorn, Research Assistant with the University of Pittsburgh’s Health and Explainable AI Research Laboratory, speaks with Pitt HexAI podcast host Jordan Gass-Pooré about her work and studies linking artificial intelligence and machine learning, statistics and public health, and about explainable AI, the future of work, and the importance of exchange programs and working abroad. Jordan and Anatea dig into data and data analysis, differences between personal health and public health, and into explainability from a public health perspective.

Janneta Tabakov, Enterprise Growth Lead with Perplexity who focuses on AI in biotech and biopharma speaks with CPACE Podcast host Jordan Gass-Pooré about her work at Perplexity, a popular and fast-growing new AI-powered answer engine that’s redefining search and information discovery in the AI era. Janneta and Jordan discuss how Perplexity (https://www.perplexity.ai/) makes information discovery clear, trustworthy, and accessible, especially in fields like health, medicine, and science and they touch on Janneta’s prior work at Arima Genomics, the field of 3D genomics, Hi-C technology and the visualization and mapping of DNA structures.

The episode is geared towards introducing students and healthcare professionals to new AI-powered search tools and information discovery processes. The episode highlights how tools like Perplexity are advancing explainable AI in information discovery by making the search and synthesis process transparent, interactive, and easy to understand, helping users not only find answers, but also understand the reasoning and evidence behind them.

Janneta and Jordan also discuss the accelerating pace of AI innovation and the dynamic momentum that startups like Perplexity are driving in the industry, setting new benchmarks in healthcare and research.

Yanshan Wang (PhD, FAMIA), Vice Chair for Research and Assistant Professor of Health Informatics at the University of Pittsburgh, speaks with Pitt HexAI podcast host Jordan Gass-Pooré.

Yanshan is also the interim Director of Generative AI with the University of Pittsburgh's Computational Pathology and AI Center of Excellence and he leads the Clinical Natural Language Processing and Artificial Intelligence Innovation Laboratory (PittNAIL). Jordan and Yanshan discuss his journey into biomedical and health informatics, his role as Vice Chair of Research, his views on explainable AI, private sector engagement around AI transparency, and on emerging generative AI models and computational resources at Pitt. Yanshan closes the interview with advice for students on setting up research projects.