Johnson & Johnson's Senior Director of Data Science, Curren Katz, explains the parallels between neuroscience and AI development, including when we should strive to mirror human cognition in technology, and when copying human learning actually may be a hindrance.
Curren is a curious, driven, and creative leader with vast experience in data science and AI. Her original background was in neuroscience and cognitive neuroscience but entered the industry when she realized how much she enjoyed programming, maths, and statistics.Additionally, her biology background gave her an advantage, making her a perfect fit for managing the neuroscience portfolio for Johnson & Johnson. In our conversation with Curren, we learn about her professional background, how her biology background is an advantage, and what she enjoys most about data science, as well as the important work she does at Johnson & Johnson. We then talk about AI in the pharmaceutical industry, how it is used, what it is used for, the benefits of AI both to the company and patients, and her approach to tackling data science problems. She also tells us what it was like moving into a leadership role and shares some advice for people wanting to take the plunge into leadership.Key Points From This Episode:
Tweetables:“Finding new ways to use data to drive diagnosis is a big focus for us.” — @CurrenKatz “In data science, it can be challenging to define success. But choosing the right problem to solve can make that a lot easier.” — @CurrenKatz “I want the best data scientists in the world and to have those people on my team or the best managers in the world. I just need to give them the space to be successful.” — @CurrenKatz