Biostatistics Podcast

How can AI and machine learning be applied to clinical trial designs? What are some interesting applications of AI in health? With AI and machine learning being the hot topic, what are some skills or background you need to succeed in the field? James Zou will answer all these questions for you. Dr. Zou obtained his PhD in Harvard University and is currently an associate professor of Biomedical data Science at Stanford University. He also acts as the faculty director of Stanford AI4Health. He collaborates extensively with experts across disciplines to advance both the foundations of machine learning and its practical implementation in clinical settings. His innovative work aims to enhance the accuracy, efficiency, and fairness of AI systems in medicine, driving forward the integration of cutting-edge technology in healthcare. Let's dive into this episode and see what James has shared with us. Please visit our website https://biostatisticspodcast.github.io/ for the latest updates and transcripts of the published episodes. If you have any comments, feedback, or suggestions, feel free to email us via biostatisticspodcast@gmail.com or DM us on Twitter @BiostatsPodcast Powered by Firstory Hosting

What is it like to work for a statistical consulting company? What are some common paths for statisticians to take in a consulting company? What are some skills needed in a statistical consultancy? Grace Hsu will answer all these questions for you! Grace got her master's degree in statistics from Simon Fraser University and currently is working in Cytel as an associate Director & Research principal. She has a lot of experience in developing and presenting advanced statistical methods to both statistical and non-statistical audiences and has supported submissions to HTAs and other regulatory bodies. Let's dive into this episode and see what Grace has shared with us! Please visit our website https://biostatisticspodcast.github.io/ for the latest updates and transcripts of the published episodes. If you have any comments, feedback, or suggestions, feel free to email us via biostatisticspodcast@gmail.com or DM us on Twitter @BiostatsPodcast Powered by Firstory Hosting

How to use latent variable models to address differential measurement problems? What are some interesting aging problems that can be addressed by biostatistics? What's the difference between epidemiology and biostatistics? Karen Bandeen Roche will answer all these questions for you. Dr. Bandeen Roche obtained her Ph.D. degree in operations research and industrial engineering from Cornell University. And she is particularly interested in the development, implementation, and application of models for problems that include underlying or unobservable processes of interest. She focuses on creating statistical reasoning needed to learn how we can lengthen healthy lives and increase independence for older adults. Let's dive into this episode and see what Karen has shared with us. Please visit our website https://biostatisticspodcast.github.io/ for the latest updates and transcripts of the published episodes. If you have any comments, feedback or suggestions, feel free to email us via biostatisticspodcast@gmail.com or DM us on Twitter @BiostatsPodcast Powered by Firstory Hosting

What are some important skills that are helpful while doing post-graduate training? What is the trend in academia as Biostatistics gets more and more competitive? How to navigate career choice between industry and academia? Dr. Jin Jin will answer all these questions for you. Jin Jin received her phd in Biostatistics from the University of Minnesota and now works as an Assistant Professor of Biostatistics at the University of Pennsylvania, Department of Biostatistics, Epidemiology and Informatics. With a research focus on integrating large-scale datasets to address cutting-edge problems in public health and medicine, she deals with complex issues such as health equity in disease risk prediction, statistical genetics, and Bayesian hierarchical models for high-dimensional data. Let's dive into this episode and see what Jin Jin has shared with us. Please visit our website https://biostatisticspodcast.github.io/ for the latest updates and transcripts of the published episodes. If you have any comments, feedback or suggestions, feel free to email us via biostatisticspodcast@gmail.com or DM us on Twitter @BiostatsPodcast Powered by Firstory Hosting

What's the difference between epidemiology and biostatistics? What do epidemiologists support in a consulting company? How to build a start-up with your statistical knowledge? Dr. Paul Arora will answer all these questions for you! Paul holds the position of Vice President, Advanced Epidemiology at Cytel, where his primary areas of focus encompass real-world evidence, epidemiological methods, and the application of machine learning to health outcome issues. Additionally, he played a significant role in establishing Lighthouse Outcomes, a specialized consulting firm dedicated to advanced analytics in clinical epidemiology research. Moreover, Paul is an Assistant Professor within the Division of Epidemiology at the Dalla Lana School of Public Health, University of Toronto. His professional background is rooted in epidemiology, with over fifteen years of experience leading assessments in both public health and clinical epidemiology. He possesses extensive expertise in evidence synthesis methodologies and has held influential consulting positions, collaborating with domestic and international public and private institutions. Let's dive into this episode and see what Paul shared with us! Please visit our website https://biostatisticspodcast.github.io/ for the latest updates and transcripts of the published episodes. If you have any comments, feedback or suggestions, feel free to email us via biostatisticspodcast@gmail.com or DM us on Twitter @BiostatsPodcast Powered by Firstory Hosting