Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Aileen Nielsen

Aileen Nielsen
Software Engineer, Skillman Consulting

Aileen Nielsen works at an early-stage NYC startup that has something to do with time series data and neural networks, and she is also the author of a Practical Time Series Analysis, published in 2019, and an upcoming book, Practical Fairness, to be published in summer 2020. Previously, Aileen worked at corporate law firms, physics research labs, a variety of NYC tech startups, and most recently, the mobile health platform One Drop as well as on Hillary Clinton’s presidential campaign. Aileen currently serves as the chair of the NYC Bar’s Science and Law Committee as well as a Fellow in Law and Tech at ETH Zurich. Aileen is a frequent speaker at machine learning conferences on both technical and legal subjects.


1:30pm–5:00pm Tuesday, 09/11/2018
Location: 1E 11 Level: Intermediate
Secondary topics:  Ethics and Privacy
Aileen Nielsen (Skillman Consulting)
Average rating: ****.
(4.00, 4 ratings)
There is mounting evidence that the widespread deployment of machine learning and artificial intelligence in business and government applications is reproducing or even amplifying existing prejudices and social inequalities. Aileen Nielsen demonstrates how to identify and avoid bias and other unfairness in your analyses. Read more.