Making the Mid-career Leap from Urban Design to Deep Learning/Data Science

As an architect with a focus on urban design, Legg Yeung realized the limitations of her impact-driven work given the traditionally creative way of framing solutions. This inspired her to make a leap towards a more data driven career, going back to school at UC Berkeley’s School of Information to gain new skills with the vision of bringing more quantitative science and deep learning to the field of architecture and urban design. After working hard at developing new skills, she recently landed a resident position at Microsoft Research AI.

[@moatasimalkhatib685]

I'm happy to find similar professionals who did a similar carewr shift from Urban Design to Data Analytics / Science. Took me 4 years and now I'm an Urban Data Analytics Specialist for the Government in the UAE. Beat of luck!

[@adishrathod1479]

Hey would you be able to elaborate how you were able to transition, what steps you took to get into the field, are you working for G42 by any chance

[@phelelanimkhize4522]

I wish she could tell us about the transition between the fields. I am also from an urban design/urban planning background and I'm looking to take the leap but I am not sure if I am well equipped to make the leap

[@ankurparashar9045]

Did you find it?

[@phelelanimkhize4522]

@@ankurparashar9045 Not at all

[@ekinkaraveli6989]

Did you find it now

[@SagarJha3]

@@ekinkaraveli6989 Any progress?

[@goku9401]

did you find anything ?

[@HemangJoshi]

so cute video...