I lead the Personalization team at Microsoft working on Reco Systems, NLP, Computer Vision, and other ML solutions.

In addition, I help people understand and apply AI. Whether you want to switch your career to Data Science, land a job in a big tech company, grow your Data Science career, or apply AI to your business, I can help you.

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Blog: https://bit.ly/miguelgfierro
GitHub: https://github.com/miguelgfierro
Microsoft Recommenders: https://github.com/microsoft/recommenders
Publications and conferences: https://github.com/miguelgfierro/publications

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Miguel Fierro

As an associate professor of computer science and a director of machine learning at the Center for Translational Research in Neuroimaging & Data Science, I like to keep things busy. Probably for that reason, I have three kids, two cats and a dog, I travel often, moved a few times recently, and have painted rooms and houses everywhere I go :)

My research focuses on developing computational instruments that enable knowledge extraction from observational multimodal data collected at different temporal and spatial scales. I believe we can provide the neuroimaging community with a more robust, reliable understanding of directed connectivity in the brain.

We can’t just poke around in alive human brain to see how it works :) 
I and my collaborators are honored to have received $1.3 million from the National Science Foundation and the National Institutes of Health (NIH), to study causal connections in the brain. Here are only a few of my other accomplishments:

- Published one of the first demonstrations of the versatile potential of deep learning methods for the field in 2013 and since then my group developed a number of deep learning approaches to neuroimaging. 
- Developed the theories in complex time series including a number of algorithms creating a new subarea in causal research. 
- Developed efficient algorithms for matrix factorization. 
- Enabled research on federated datasets with a focus on preserving privacy, inspiring a project for creating a framework to enable research on decentralized data. 

If you are as passionate about the mentioned above as I am, feel free to drop me a message here on LI.

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Miguel Fierro

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