Michael Li

Maxime Agostini Contributor Share on Twitter Maxime Agostini is the co-founder and CEO of Sarus, a privacy company supported by Y Combinator that lets organizations leverage confidential data for analytics and machine learning. Michael Li Contributor Share on Twitter Tianhui Michael Li is the founder of The Data Incubator, an eight-week fellowship to help Ph.D.s and postdocs transition from academia into industry. It was acquired by Pragmatic Institute. Previously, he headed monetization data science at Foursquare and has worked at Google, Andreessen Horowitz, J.P. Morgan, and D.E. Shaw. More posts by this contributor Implement differential privacy to power up data sharing and cooperation How to recruit data scientists without paying top dollar

Tianhui Michael Li is the founder of The Data Incubator, an eight-week fellowship to help Ph.D.s and postdocs transition from academia into industry. It was acquired by Pragmatic Institute. Previously, he headed monetization data science at Foursquare and has worked at Google, Andreessen Horowitz, J.P. Morgan, and D.E. Shaw.

The Latest from Michael Li

Implement differential privacy to power up data sharing and cooperation

Differential privacy doesn’t just better protect privacy, it can also power data sharing solutions that facilitate cooperation across departments or companies.

How to recruit data scientists without paying top dollar

HR professionals need to collaborate with data science managers to craft job descriptions that speak to a data science audience. The increasingly pivotal role of job postings will not abate with the v

Will automation eliminate data science positions?

The most important question in data science is not which machine learning algorithm to choose or even how to clean your data. It's the questions you need to ask before code is written.

What’s different about hiring data scientists in 2020?

It’s 2020 and the world has changed remarkably, including in how companies screen data science candidates.

Five building blocks of a data-driven culture

To be data-driven requires an overarching data culture that couples a number of elements, including high-quality data, broad access and data literacy and appropriate data-driven decision-making proces

The perils of polling in a Brexit and Donald Trump world

In the digital era of big data, polling is ironically more fraught. The reasons offer a microcosm of both the promise and perils of Big Data.