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Our guest today is Miguel Fierro, Lead Data Scientist at Microsoft working in the personalisation team.
In our conversation, we first dig into Miguel’s PhD in robotics and the connection between robotics and AI. Miguel then shares a few stories on reverse learning to learn faster, how to switch fields, taking initiatives, the importance of diversity and the power of practical knowledge. We finally talk about Data Science at Microsoft where Miguel talks about his career path and learnings he got from some of the best in the field.
If you enjoyed the episode, please leave a 5 star review and subscribe to the AI Stories Youtube channel.
Follow Miguel on LinkedIn: https://www.linkedin.com/in/miguelgfierro/
Follow Neil on LinkedIn: https://www.linkedin.com/in/leiserneil/
---
00:00) : Intro
(02:05) : How Miguel got into the field
(10:30) : Robotics
(16:03) : Taking initiatives
(17:49) : Importance of Diversity
(22:24) : Switching fields
(27:30) : Reverse learning & Practical Knowledge
(42:18) : Getting projects done
(47:57) : Future of AI & Robotics
(55:19) : Data Science at Microsoft
(01:00:17) : Asking for help
(01:11:52) : Miguel’s path @Microsoft
(01:13:45) : Career advice
By Neil LeiserOur guest today is Miguel Fierro, Lead Data Scientist at Microsoft working in the personalisation team.
In our conversation, we first dig into Miguel’s PhD in robotics and the connection between robotics and AI. Miguel then shares a few stories on reverse learning to learn faster, how to switch fields, taking initiatives, the importance of diversity and the power of practical knowledge. We finally talk about Data Science at Microsoft where Miguel talks about his career path and learnings he got from some of the best in the field.
If you enjoyed the episode, please leave a 5 star review and subscribe to the AI Stories Youtube channel.
Follow Miguel on LinkedIn: https://www.linkedin.com/in/miguelgfierro/
Follow Neil on LinkedIn: https://www.linkedin.com/in/leiserneil/
---
00:00) : Intro
(02:05) : How Miguel got into the field
(10:30) : Robotics
(16:03) : Taking initiatives
(17:49) : Importance of Diversity
(22:24) : Switching fields
(27:30) : Reverse learning & Practical Knowledge
(42:18) : Getting projects done
(47:57) : Future of AI & Robotics
(55:19) : Data Science at Microsoft
(01:00:17) : Asking for help
(01:11:52) : Miguel’s path @Microsoft
(01:13:45) : Career advice

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