Challenges in building a data science team and the importance of diversity

Today's guest is Alix Lacoste, VP of Data Science at BenevolentAI in New York. BenevolentAI is the global leader in the development and application of AI for scientific innovation. They aim to accelerate the journey from inventive ideas to medicines for patients by developing AI to generate new treatments for some of the world’s 8,000 untreated diseases.

BenevolentAI's team of technologists, AI researchers and scientists build and applies AI to the entire drug discovery and development process. Alix leads the Data Science team, who responsible for developing machine learning and data science technologies to improve and evaluate the drug target identification pipeline from rare to more common diseases.

In the show, Alix will tell you about:

How she got involved in the Data Science world,

What is unique about Benevolent’s work within healthcare,

Their goal to fulfil the potential of AI within drug discovery,

Interesting projects she is currently working on,

What she loves about her job,

and Challenges to be aware of in building a successful data science team.