AI in Action E113: Dilara Ally, Head of Digital Sciences and Technologies at Joyn Bio


Welcome to episode 113 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.

Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and Europe.

Today's guest is Dilara Ally, Dept. Head of Digital Sciences and Technologies at Joyn Bio. Dilara is an experienced Technology executive living at the intersection of people, digital business strategy, and data science. She is currently responsible for all of Joyn Bio's computational biology, data science, IT infrastructure and cloud-based scientific computing.

Founded in 2018 based in Boston, Joyn Bio is a joint venture between Ginkgo Bioworks and Leaps by Bayer with the mission to bring synthetic biology to the challenges facing sustainability in agriculture. Their first project is to engineer microbes that can provide plants with biological nitrogen fertilizer, decreasing the environmental impact of agriculture. 

In the show, Dilara will tell you about: 

Her day-to-day work at Joyn Bio 

How they are using Computational Biology and Data Science 

What attracted her to the world of Data Science 

What excites her for the potential of AI in Agriculture 

The impact of Data Modelling  

The challenge of managing sustainability in the sector 

Key advice on how to be a great Data Scientist 

To find out more about Dilara and her work at Joyn Bio, check out the website or follow them on Twitter @JoynBio. You can also follow Dilara on Twitter @AllyDilara or connect with her on Linkedin.

What did you make of Dilara's podcast? Where do you see the future of Artificial Intelligence and Data Science heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.

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