Genevera Allen's guest appearances

Genevera Allen

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Sydney Ideas

Healthcare Data Matters Podcast

Alison Gopnik

Meredith Broussard

Michael Mann

Ilias Diakonikolas

Mao Zedong

Scott Clark

Celeste Kidd

David Goodman

Dennis Mortensen

Rob Walker

Carlos Ghosn

Marion Nestle

Sanmi Koyejo

Chelsea Finn

Dario Amodei

OwlTail

Data science, machine learning, and AI can be applied to a wide spectrum of healthcare tasks, from modeling the spread of COVID across a city to arrhythmia detection on an individual patient. Using these tools requires data and expertise from both engineering and medical communities. While these groups often collaborate on worthwhile projects, it can be difficult to start new projects across industries and institutions due to a variety of factors including geography, contracting, and regulations.  Motivated by a desire to train the next generation of data workers, the Data2Knowledge Lab at Rice University has created an ecosystem that brings together clinical and engineering researchers in the service of answering healthcare questions with data.  Join Genevera Allen, PhD, the founder and director of the D2K Lab, as she discusses how she developed the program, leveraging the largest industries in Houston to find interesting problems and foster research opportunities. Particular projects with institutions in the Texas Medical Center have included:  Detecting arrhythmias in pediatric populations NLP chatbot for actively monitoring COVID symptoms with University of Health Science Center at Houston Detecting cardiac instability in children prior to cardiac arrest (with Texas Children’s Hospital) Finding genomic signatures in age-related macular degeneration (with Baylor College of Medicine) Impact of COVID-19 on EMS services (with City of Houston Fire Department)  Learn more about how the program was built and best practices for working with academic universities in your area to create a similar program.  For a full replay of the webinar with accompanying slides please visit: https://healthcaredatamatters.com/on-demand/ Information:  Season 1, Episode 6 Aired live on March 16, 2021 at 12:30pm CT Audio: 9:07

Data science, machine learning, and AI can be applied to a wide spectrum of healthcare tasks, from modeling the spread of COVID across a city to arrhythmia detection on an individual patient. Using these tools requires data and expertise from both engineering and medical communities. While these groups often collaborate on worthwhile projects, it can be difficult to start new projects across industries and institutions due to a variety of factors including geography, contracting, and regulations.  Motivated by a desire to train the next generation of data workers, the Data2Knowledge Lab at Rice University has created an ecosystem that brings together clinical and engineering researchers in the service of answering healthcare questions with data.  Join Genevera Allen, PhD, the founder and director of the D2K Lab, as she discusses how she developed the program, leveraging the largest industries in Houston to find interesting problems and foster research opportunities. Particular projects with institutions in the Texas Medical Center have included: <ul> <li>Detecting arrhythmias in pediatric populations</li> <li>NLP chatbot for actively monitoring COVID symptoms with University of Health Science Center at Houston</li> <li>Detecting cardiac instability in children prior to cardiac arrest (with Texas Children’s Hospital)</li> <li>Finding genomic signatures in age-related macular degeneration (with Baylor College of Medicine)</li> <li>Impact of COVID-19 on EMS services (with City of Houston Fire Department)</li> </ul> Learn more about how the program was built and best practices for working with academic universities in your area to create a similar program.  For a full replay of the webinar with accompanying slides please visit: <a href="https://healthcaredatamatters.com/on-demand/" rel="nofollow" target="_blank">https://healthcaredatamatters.com/on-demand/</a> Information:  Season 1, Episode 6 Aired live on March 16, 2021 at 12:30pm CT Audio: 9:07

Dr. Genevera Allen, Data2Knowledge Lab, Rice University

Today we’re joined by Genevera Allen, associate professor of statistics in the EECS Department at Rice University. Genevera caused quite the stir at the American Association for the Advancement of Science meeting earlier this year with her presentation “Can We Trust Data-Driven Discoveries?" In our conversation, we discuss the goal of Genevera's talk, the issues surrounding reproducibility in Machine Learning, and much more!

Today we’re joined by Genevera Allen, associate professor of statistics in the EECS Department at Rice University. Genevera caused quite the stir at the American Association for the Advancement of Science meeting earlier this year with her presentation “Can We Trust Data-Driven Discoveries?" In our conversation, we discuss the goal of Genevera's talk, the issues surrounding reproducibility in Machine Learning, and much more!

Can We Trust Scientific Discoveries Made Using Machine Learning? with Genevera Allen - TWiML Talk #266

Cancer and neurologial diseases are among the top 5 causes of death in Australia. However, there is some good news in this battle against these as new big data technologies now allow scientists to measure nearly every aspect of a cancerous tumor and take real-time scans of the active human brain. This big data may hold the key to understanding causes and possible cures for cancer as well as understanding the complexities of the human brain. Genevera Allen highlights how exactly is data science transforming medical research. Specifically, she demonstrates how networks can be used to visualize and mine big biomedical data, from genetic networks that have led to the discovery of new drug targets for cancer to brain networks that show how the brain communicates and how these communications are disrupted in neurological diseases.SPEAKER: Assistant Professor Genevera Allen, Statistics and Electrical and Computer Engineering, Rice University, USAFor the Australian Mathematical Sciences Institute (AMSI) Summer School. Presented by Sydney Ideas on 31 Jan 2017 http://sydney.edu.au/sydney_ideas/lectures/2017/assistant_professor_genevera_allen.shtml

Cancer and neurologial diseases are among the top 5 causes of death in Australia. However, there is some good news in this battle against these as new big data technologies now allow scientists to measure nearly every aspect of a cancerous tumor and take real-time scans of the active human brain. This big data may hold the key to understanding causes and possible cures for cancer as well as understanding the complexities of the human brain. Genevera Allen highlights how exactly is data science transforming medical research. Specifically, she demonstrates how networks can be used to visualize and mine big biomedical data, from genetic networks that have led to the discovery of new drug targets for cancer to brain networks that show how the brain communicates and how these communications are disrupted in neurological diseases. SPEAKER: Assistant Professor Genevera Allen, Statistics and Electrical and Computer Engineering, Rice University, USA For the Australian Mathematical Sciences Institute (AMSI) Summer School. Presented by Sydney Ideas on 31 Jan 2017 <a href="http://sydney.edu.au/sydney_ideas/lectures/2017/assistant_professor_genevera_allen.shtml" rel="nofollow" target="_blank">http://sydney.edu.au/sydney_ideas/lectures/2017/assistant_professor_genevera_allen.shtml</a>

Professor Genevera Allen: Networks for Big Biomedical Data