Brian Lange
data scientist
Brian Lange is a student in the Computer Engineering program at Northwestern University. He also works as a Data Scientist at Datascope Analytics, where he leads design process exercises and designs analyses, web interfaces and visualizations. He has contributed to projects for P&G;, Thomson Reuters, and other well known companies and his work has been featured on FlowingData. While he's not nerding out about typography and information density, he enjoys science and comedy podcasts, making beer, and listening to weird music.
blog posts
IssueLab Empowers Researchers Using NLP and Data Science
The Spärck API generates metadata, to enrich collective knowledge in the social sector
Motorola Mobility Follows the Data to Engineer Better Smartphones
A custom built tool aggregates and algorithmically analyzes smartphone customer feedback data from a broad spectrum of internet sources
Introducing the DuoDesk
Taking pair programming to a whole new level thanks to a partnership with students at Northwestern University
Lunch? Our food truck tracker goes mobile and infiltrates U Chicago
Mobile food on mobile phones, now in Hyde Park as well as the loop.
Thomson Reuters: Visualizing collaborations on academic reports
From sketch to mock-up to prototype to enterprise-quality solution, we do it all.
Thomson Reuters: Product reimagination for visual analytics
Brainstorming with all stakeholders improves the likelihood of developing useful dashboards.
Daegis: designing a more cost-efficient process for litigation
Reducing costs by 70-90% is only valuable when the solution is legally defensible and trustworthy.
Modern cartography: Why map styling matters
Few things in this world are one-size-fits-all, and web maps aren't one of them
Designing a Creative Space: Part 2
The climactic conclusion of our office redesign.
Designing a Creative Space: Part 1
Moving to a new office gave us the opportunity to rethink our work environment.
How to build a mobile whiteboard, the Datascope way
We use a LOT of whiteboards, and we build them ourselves. See how.
New digs in the Loop
Goodbye Belmont. Hello Quincy.
inThirty is a Grand Challenge Finalist!
Thanks for your support!
InThirty is an Apps For Metro Chicago Finalist
They like us, they really like us!
The birth of neighborhood shopping: inThirty
Our entry for the Apps for Metro Chicago contest is now online. This is the story of how it came to be.
Getting Things Done the Datascope Way
The Post-it Note Method
"Our algorithms are hot"
Jessie knows her analytics
we are hiring
about our culture
Caricature of a small tech org chart
We're not big, but we are certainly collaborative!
Building a data science team
A data science team is more than a room full of nerds
Pair programming: when are two better than one?
(a) Developing reusable software. (b) During crunch-time. (c) Training colleagues. (d) All of the above.
Getting Things Done the Datascope Way
The Post-it Note Method
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