LinkedInJulie Steele

Julie Steele

Director, Communications at Silicon Valley Data Science

Location
New York, New York
Industry
Information Services
Current
  1. Silicon Valley Data Science,
  2. MFA Design for Social Innovation — SVA,
  3. Self-employed
Previous
  1. O'Reilly Media,
  2. LexisNexis,
  3. EP Magazine
Education
  1. Rutgers, The State University of New Jersey-Newark
Recommendations7 people have recommended Julie
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500+connections
Silicon Valley Data Science

Silicon Valley Data Science

Director, Communications

– Present

View full profile

Background

Experience

Director, Communications

Silicon Valley Data Science
– Present (4 months)Sunnyvale, CA

Faculty

MFA Design for Social Innovation — SVA
– Present (1 year 2 months)New York, New York

Teaching a year-long course on Data Metrics and Visualization to second-year MFA students.

Freelance Graphic Designer

Self-employed
– Present (18 years 2 months)

Logo design, brochures, program covers, posters, etc. Work done primarily in InDesign but also in Quark and PageMaker.

Content Editor for Strata

O'Reilly Media
(2 years 4 months)Sebastopol, CA

Acquisitions Editor

O'Reilly Media
(4 years 2 months)Sebastopol, CA

Acquiring and developing titles related to: Python, SQL, and PHP; web frameworks/CMSs (Django, Drupal, Joomla, WordPress); databases (Oracle, MySQL, PostgreSQL); big data and cloud computing; and IT for healthcare.

Editor, Practice Area Content

LexisNexis
(4 years 2 months)Newark, NJ

Worked on treatises, pamphlets and newsletters related to bankruptcy, commercial and banking law. Also worked with SGML and XML tagging for print and online content, and related systems.

Associate Editor

EP Magazine
(11 months)

Arts & Entertainment

Chimes: The Student Newspaper of Calvin College
(2 years 5 months)

Publicity Intern

Addison Wesley
(3 months)

Editorial Intern

Addison Wesley
(3 months)

Projects

Strata(Link)

– Present

Ground-breaking industry conference charting the rise of the data-driven society: from big data to new interfaces and ubiquitous computing.

Team members:

Strata Rx(Link)

The O'Reilly Strata Rx Conference is one of the first events in the world that brings leading experts together to advance personalized and predictive medicine by harnessing the explosion of healthcare data---from next-generation DNA sequencing to electronic health records, longitudinal claims data, and personal health device data (mobile health/quantified self).

Team members:

Data Sensing Lab(Link)

Instrumenting the O'Reilly Strata conferences to give you a taste of your life in a more measured and quantified world. By instrumenting the conference environment with basic off-the-shelf sensors and mesh networking, we will observe and report on the conference, and generate interesting sociological data from the distributed sensor network.

Team members:

Skills

  • Copy Editing
  • Writing
  • Online Research
  • Editorial Development
  • Graphic Design
  • Contract Negotiation
  • Ashtanga Yoga
  • Python
  • Editorial
  • Content Management
  • Conference Design
  • Data
  • Content Development
  • Publishing
  • Blogging
  • Social Media Marketing
  • Media Analysis
  • Social Media
  • Publications
  • Social Networking
  • HTML
  • Proofreading
  • Online Publishing
  • Books
  • Journalism
  • Digital Media
  • Web Content Management
  • Editing
  • Technical Writing
  • Wordpress
  • Ebooks
  • Web Content
  • Content Strategy
  • CMS
  • Research
  • Copywriting
  • WordPress
  • Events
  • Textbooks
  • Academic Publishing
  • Publicity
  • Information Architecture
  • User Experience
  • New Media
  • SEO
  • Multimedia
  • Drupal
  • User Interface Design
  • Email Marketing
  • Web 2.0
  • See 35+  See less

Publications

Beautiful Visualization(Link)

O'Reilly Media
April 2010

With contributions from more than two dozen experts, this book demonstrates why visualizations are beautiful not only for their aesthetic design, but also for elegant layers of detail that efficiently generate insight and new understanding. Think of the familiar map of the New York City subway system, or a diagram of the human brain. These older examples have been surpassed by artists, designers, commentators, scientists, analysts, statisticians, and others who show how visualizations using today's digital capabilities can help us make sense of the world.

Authors:

Designing Data Visualizations: Intentional Communication from Data to Display(Link)

O'Reilly Media
September 2011

Data visualization is an efficient and effective medium for communicating large amounts of information, but the design process can often seem like an unexplainable creative endeavor. This concise book aims to demystify the design process by showing you how to use a linear decision-making process to encode your information visually.

Delve into different kinds of visualization, including infographics and visual art, and explore the influences at work in each one. Then learn how to apply these concepts to your design process.

- Learn data visualization classifications, including explanatory, exploratory, and hybrid
- Discover how three fundamental influences—the designer, the reader, and the data—shape what you create
- Learn how to describe the specific goal of your visualization and identify the supporting data
- Decide the spatial position of your visual entities with axes
- Encode the various dimensions of your data with appropriate visual properties, such as shape and color
- See visualization best practices and suggestions for encoding various specific data types

Authors:

Planning for Big Data(Link)

O'Reilly Media, Inc.
2012

In an age where everything is measurable, understanding big data is an essential. From creating new data-driven products through to increasing operational efficiency, big data has the potential to make your organization both more competitive and more innovative.

As this emerging field transitions from the bleeding edge to enterprise infrastructure, it's vital to understand not only the technologies involved, but the organizational and cultural demands of being data-driven.

Authors:

Fashioning Data: How fashion industry leaders innovate with data and what you can learn from what they know(Link)

O'Reilly Media
October 2014

The traditional cycle in the fashion industry starts on the runway, with designs that are finally available for consumer purchase several months later. But as this O’Reilly report shows, consumers are now an integral part of the full fashion cycle—even before some styles come to fruition—as fashion innovators find new ways to bring data analytics to the industry.

Through interviews with several fashion startups, authors Liza Kindred and Julie Steele reveal that these pioneers are talking to customers and getting valuable data from them, in ways that other industries would be wise to emulate. Some aspects of fashion are becoming more agile, as startups such as Poshly, Rent the Runway, and Stich Fix respond to customer input on sizing, preference, and more.

As you’ll discover, data science has already made big alterations to the $3 trillion fashion industry, via a growing number of fashion data tools and trends, including custom fit and local manufacturing. At the same time, there is lots of room for exploration and innovation, especially in the areas of machine vs human insight, image processing, and online vs offline data collection.

Authors:

Education

Rutgers, The State University of New Jersey-Newark

MA, Political Science

Awarded Master's Scholarship, 2007-08 and 2008-09.

Activities and Societies: Pi Sigma Alpha (National Political Science Honor Society), NJPIRG (New Jersey Public Interest Research Group)

Calvin College

BA, English

Received National Merit Scholarship, 1999, and Boston Globe Scholarship, 1999.

Activities and Societies: Chimes: the student newspaper of Calvin College

LCA

High School Diploma

Activities and Societies: Chorale, student government, field hockey, lacrosse, National Honor Society

Organizations

NJCS (New Jersey Choral Society)

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