Predicting seizures, protecting patients

Some of the most impactful applications of O.R. and analytics are those in the medical field, improving patient outcomes and saving lives. Joining me for this episode are Cynthia Rudin, professor of computer science, electrical and computer engineering and statistical science at Duke University’s Prediction Analysis Lab and Dr. Aaron Struck, a neurologist with the Department of Neurology at the University of Wisconsin. They were members of a multi-university research team whose work on predicting damaging seizures in brain injury patients was recognized with the 2019 Innovative Applications in Analytics Award, presented earlier this year at the INFORMS Business Analytics Conference.

Interviewed this episode:

Cynthia Rudin, Dr. Aaron Struck

Duke University, University of Wisconsin

Cynthia Rudin is a professor of computer science, electrical and computer engineering, statistical science, and biostatistics & bioinformatics at Duke University, and directs the Interpretable Machine Learning Lab. Previously, Prof. Rudin held positions at MIT, Columbia, and NYU. She holds an undergraduate degree from the University at Buffalo, and a PhD from Princeton University. She is the recipient of the 2022 Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity from the Association for the Advancement of Artificial Intelligence (AAAI). This award, similar only to world-renowned recognitions, such as the Nobel Prize and the Turing Award, carries a monetary reward at the million-dollar level. She is also a three-time winner of the INFORMS Innovative Applications in Analytics Award, was named as one of the “Top 40 Under 40” by Poets and Quants in 2015, and was named by Businessinsider.com as one of the 12 most impressive professors at MIT in 2015. She is a fellow of the American Statistical Association and a fellow of the Institute of Mathematical Statistics.

She is past chair of both the INFORMS Data Mining Section and the Statistical Learning and Data Science Section of the American Statistical Association. She has also served on committees for DARPA, the National Institute of Justice, AAAI, and ACM SIGKDD. She has served on three committees for the National Academies of Sciences, Engineering and Medicine, including the Committee on Applied and Theoretical Statistics, the Committee on Law and Justice, and the Committee on Analytic Research Foundations for the Next-Generation Electric Grid. She has given keynote/invited talks at several conferences including KDD (twice), AISTATS, CODE, Machine Learning in Healthcare (MLHC), Fairness, Accountability and Transparency in Machine Learning (FAT-ML), ECML-PKDD, and the Nobel Conference. Her work has been featured in news outlets including the NY Times, Washington Post, Wall Street Journal, the Boston Globe, Businessweek, and NPR.

Dr. Aaron Struck is a neurologist whose clinical focus includes continuous EEG in the neuro-ICU, neuroimaging and surgical treatment of epilepsy. Dr. Struck is also interested in molecular imaging, data science and clinical epilepsy. He enjoys teaching neurophysiology and clinical epilepsy to medical students and residents.