Category Archives: Data science

Microsoft’s Data Culture – and Fully Analytical Products?

For data enthusiasts everywhere, this is exciting news: ┬áNew CEO Nadella pushes data culture at Microsoft Great stuff. Surely there will be many lessons learned in transforming corporate culture like this. Microsoft is big enough and established enough to make … Continue reading

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Data Empathy

I recently went to an amazing Data Science meetup which I highly recommend to all New York-based folk interested in all things data – Data Driven NYC, hosted (and generously catered) by Bloomberg in their beautiful 59th street office. Founder … Continue reading

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Post-Ph.D. Job Market: Timelines

I recently gave a talk at a WimNet group meeting regarding my post-Ph.D. job market experiences and lessons learned. A version of the slides that is not Columbia-specific and applicable to many EECS students is available below: Slides from the … Continue reading

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Data, Diverse and Mighty

I’ve been thinking lately about how many different types of data I actually worked with. Surely, there are indoor light energy traces that I collected and analyzed in an extensive study that resulted in 2 top-tier papers, a public dataset, … Continue reading

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Visualizations: my CV and my Research Statement as Word Clouds

As far back as I remember, I was a fan of clear, catchy, and entertaining visual data representations. Like those that often appear in the National Geographic or the Economist – the engaging ways of presenting scientific facts and data. … Continue reading

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