Health and Explainable AI Podcast

Morgan Cheatham, a medical student and Vice President at Bessemer Venture Partners, speaks with Pitt HexAI host Jordan Gass-Pooré about his background, interests in healthcare and life sciences, and his venture capital work investing at the intersection of computation and bimedicine. Jordan and Morgan discuss in detail AI in healthcare and medicine from a venture capital perspective, the types of...

William Hersh, MD, a Professor in the Department of Medical Informatics & Clinical Epidemiology in the School of Medicine at Oregon Health & Science University in Portland, Oregon, speaks with Pitt HexAI podcast host Jordan Gass-Poore’ about his background and work, the field of biomedical informatics, his books and writing on health informatics, explainable AI and on being an educator in...

Shashank Manjunath, a PhD student and researcher with the Dr. Aarti Sathyanarayana's Sath Lab at Northeastern University, speaks with Pitt HexAI guest host Zoe Menezes about biomedical signal processing, applied machine learning, data sources, noise reduction, explainable AI and on Shashank's workflow, favorite resources and views on emerging generative AI powered tools geared for research...

Vivek Nallur, a Lecturer and Assistant Professor of Computer Science at University College Dublin speaks with Pitt HexAI podcast producer Brent Phillips about Vivek's work around AI Ethics. Vivek is particularly interested in ethics, AI governance and explainable AI and in questions around AI ethics relevant to autonomous machines. The interview focuses to a large degree on the subject of fami...

Natalia Díaz Rodríguez, an Assistant Professor focusing on trustworthy AI and responsible AI systems at the University of Granada, Spain and a researcher at DaSCI (Andalusian Data Science and Computational Intelligence Institute), speaks with Pitt HexAI's podcast host Jordan Gass-Poore' about her work and thoughts on explainable AI. Natalia graduated from University of Granada (Spain) in 2...

Annika Schoene, a Research Scientist with Northeastern University specializing in natural language processing for mental health, speaks with Mythili Tirumalasetty with the University of Pittsburgh's Health and Explainable AI Research Laboratory about her work, graph neural networks, applications of deep learning relevant to mental health, classification of risk and pain, responsible AI, explai...

William Hsu is a Professor of Radiological Sciences, Bioinformatics, and Bioengineering at the University of California, Los Angeles. He is a biomedical informatician focused on maximizing the utility of multimodal data to detect and treat cancers earlier. His lab harnesses artificial intelligence/machine learning techniques to integrate and transform multimodal data into actionable knowledge. He...

Jason Fries is a research scientist with the  Shah Lab  at Stanford University. In this episode Jason speaks with Pitt HexAI’s podcast host Jordan Gass-Poore’ about his early interests in computational pathology and his current work at Stanford and interests in foundational models and data-centric AI. Jordan and Jason also discuss lab research papers, explainable AI, the DC-Check initiative and th...

Sriraam Natarajan is a Professor of Computer Science and Director of the Center for Machine Learning at The University of Texas at Dallas. In this episode Dr. Natarajan speaks with Pitt HexAI’s podcast host Jordan Gass-Poore’ about his background and interests in artificial intelligence and machine learning with a focus on healthcare and biomedical applications. Sriraam and Jordan discuss work bei...

Peter Shen is Vice President of Digital and Automation at Siemens Healthineers and an industry expert on medical imaging and artificial intelligence. In this episode Peter speaks with Jamie Gramz about vivo and in vitro diagnostic testing, the evolution of medical imaging and how X-ray, computed tomography and magnetic resonance imaging technologies work; real-world use cases of how AI is being us...

Claudia von Vacano, the Executive Director of the D-Lab and the Digital Humanities at the University of California, Berkeley, speaks with Mythili Tirumalasetty about Berkeley’s new, forward looking College of Computing, Data Science and Society and about the D-Lab, it’s mission and its training initiatives supporting research in data intensive social sciences. Mythili and Claudia touch on Berkeley...

Leah Reid, MD, a board-certified internal medicine physician with clinical informatics experience, who is an online Master of Science in Health Informatics (MSHI) graduate student at the University of Pittsburgh, speaks with Pitt HexAI Lab’s Mythili Tirumalasetty about studying health informatics and her interests in applying AI in hospital settings. The interview brings the two students together...

Gaurav Kaushik on launching ScienceIO and making healthcare data useful and accessible in the AI age. Jen Bees, Pitt HexAI’s Audio Engineer guest hosts a special interview giving students an opportunity to get to know ScienceIO, a cutting-edge health informatics startup. Gaurav Kaushik, President and Co-founder of ScienceIO, discusses his journey from academia to the private sector, offers advice...

Dr. Isaac Kohane on the impact of generative AI on health and biomedical informatics. Isaac Kohane, MD, PhD - Professor of Biomedical Informatics and Chair of the Department of Biomedical Informatics, Harvard Medical School discusses the impact of generative AI on the advancing fields of health and biomedical informatics, his book: “The AI Revolution in Medicine: GPT-4 and Beyond” and his new role...

Davina Zamanzadeh, a PhD student studying computer science at UCLA speaks with Pitt HexAI Lab’s Mythili Tirumalasetty about clinical applications of machine learning and Davina’s work around imputation and deep learning. The interview brings the two students together to talk about their backgrounds, research and interests in health informatics, applications of artificial intelligence and the field...

Adam Yala, Assistant Professor of Computational Precision Health with UC Berkeley-UCSF's new joint program in Computational Precision Health talks about precision medicine applied to cancer screening and treatment, explainable AI, access to datasets and the future of health informatics. “Precision medicine leverages advanced computing tools to collect, connect and apply vast amounts of scientific...