Events

Mark Dredze In Conversation With PERVADE

Event Start Date: Wednesday, June 29, 2022 - 11:00 am

Add to Calendar Wednesday, June 29, 2022 11:00 am America/New York Mark Dredze In Conversation With PERVADE

 

Speaker: 
Dr. Mark Dredze
John C Malone Associate Professor, Computer Science, Johns Hopkins University

Host: 
Dr. Michael Zimmer
Associate Professor
Department of Computer Science
Marquette University

Abstract:
Join us for the next “In Conversation With PERVADE” where we will meet Dr. Mark Dredze (Johns Hopkins University) and learn about his experiences navigating the ethical dimensions of public health informatics and using social media data and machine learning techniques to improve public health outcomes.

Speaker Bio:

Mark Dredze is the John C Malone Associate Professor of Computer Science at Johns Hopkins University. He is affiliated with the Malone Center for Engineering in Healthcare, the Center for Language and Speech Processing, among others. He holds a secondary appointment in the Biomedical Informatics & Data Science Section (BIDS), under the Department of Medicine (DOM), Division of General Internal Medicine (GIM) in the School of Medicine. He obtained his PhD from the University of Pennsylvania in 2009.

Prof. Dredze’s research develops statistical models of language with applications to social media analysis, public health and clinical informatics. Within Natural Language Processing he focuses on statistical methods for information extraction but has considered a wide range of NLP tasks, including syntax, semantics, sentiment and spoke language processing. His work in public health includes tobacco control, vaccination, infectious disease surveillance, mental health, drug use, and gun violence prevention. He also develops new methods for clinical NLP on medical records.

Beyond publications in core areas of computer science, Prof. Dredze has pioneered new applications in public health informatics. He has published widely in health journals including the Journal of the American Medical Association (JAMA), the American Journal of Preventative Medicine (AJPM), Vaccine, and the Journal of the American Medical Informatics Association (JAMIA). His work is regularly covered by major media outlets, including NPR, the New York Times and CNN.

Host Bio:

Michael Zimmer, PhD, is a privacy and data ethics scholar whose work focuses on digital privacy & surveillance, the ethics of big data, internet research ethics, and the broader social & ethical dimensions of emerging digital technologies. Dr. Zimmer is an Associate Professor in the Department of Computer Science at Marquette University, and Director of the Center for Data, Ethics, and Society. He is an Affiliated Fellow at the Information Society Project at Yale Law School, as well as the Northwestern Mutual Data Science Institute.

 


 

Speaker: 
Dr. Mark Dredze
John C Malone Associate Professor, Computer Science, Johns Hopkins University

Host: 
Dr. Michael Zimmer
Associate Professor
Department of Computer Science
Marquette University

Abstract:
Join us for the next “In Conversation With PERVADE” where we will meet Dr. Mark Dredze (Johns Hopkins University) and learn about his experiences navigating the ethical dimensions of public health informatics and using social media data and machine learning techniques to improve public health outcomes.

Speaker Bio:

Mark Dredze is the John C Malone Associate Professor of Computer Science at Johns Hopkins University. He is affiliated with the Malone Center for Engineering in Healthcare, the Center for Language and Speech Processing, among others. He holds a secondary appointment in the Biomedical Informatics & Data Science Section (BIDS), under the Department of Medicine (DOM), Division of General Internal Medicine (GIM) in the School of Medicine. He obtained his PhD from the University of Pennsylvania in 2009.

Prof. Dredze’s research develops statistical models of language with applications to social media analysis, public health and clinical informatics. Within Natural Language Processing he focuses on statistical methods for information extraction but has considered a wide range of NLP tasks, including syntax, semantics, sentiment and spoke language processing. His work in public health includes tobacco control, vaccination, infectious disease surveillance, mental health, drug use, and gun violence prevention. He also develops new methods for clinical NLP on medical records.

Beyond publications in core areas of computer science, Prof. Dredze has pioneered new applications in public health informatics. He has published widely in health journals including the Journal of the American Medical Association (JAMA), the American Journal of Preventative Medicine (AJPM), Vaccine, and the Journal of the American Medical Informatics Association (JAMIA). His work is regularly covered by major media outlets, including NPR, the New York Times and CNN.

Host Bio:

Michael Zimmer, PhD, is a privacy and data ethics scholar whose work focuses on digital privacy & surveillance, the ethics of big data, internet research ethics, and the broader social & ethical dimensions of emerging digital technologies. Dr. Zimmer is an Associate Professor in the Department of Computer Science at Marquette University, and Director of the Center for Data, Ethics, and Society. He is an Affiliated Fellow at the Information Society Project at Yale Law School, as well as the Northwestern Mutual Data Science Institute.

 

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