Speaker: Chris Albon
Director of Data Science @DevotedHealth
I am the Director of Data Science at Devoted Health, using data science and machine learning to help fix America’s health care system. Previously, I was Chief Data Scientist at the Kenyan startup BRCK, cofounded the anti-fake news company New Knowledge, created the data science podcast Partially Derivative, led the data team at the humanitarian non-profit Ushahidi’s, and was the director of the low-resource technology governance project at FrontlineSMS. I also wrote Machine Learning For Python Cookbook (O’Reilly 2018) and created Machine Learning Flashcards.
I earned a Ph.D. in Political Science from the University of California, Davis researching the quantitative impact of civil wars on health care systems. I earned a B.A. from the University of Miami, where I triple majored in political science, international studies, and religious studies.
I earned a Ph.D. in Political Science from the University of California, Davis researching the quantitative impact of civil wars on health care systems. I earned a B.A. from the University of Miami, where I triple majored in political science, international studies, and religious studies.
PANEL DISCUSSION + Live Q&A
ML/AI Panel
This is your chance to hear from the experts: ML platform builders and longtime users. What makes ML different from other types of applications and why does it require special tooling? How did they get started and what tools would they use if they were starting today? Where is the low-hanging fruit and how do they recommend acquiring those initial quick wins? Join us to learn what you should watch out for in the initial stages, while you're still learning core concepts.
Moderator: Michelle Casbon
