Dr. Catherine Williams was solving black-hole equations with pen and paper before she ever wrote a line of code and, in today’s episode, she makes the case that going deep on AI/ML math matters more than ever...

...even now that AI can do the math for you.

More on Dr. Williams:
• PhD in math researching general relativity and black holes.
• Postdocs at Stanford University and Columbia University.
• Became one of the very first data scientists when she joined AppNexus back in 2012, around the same time "data scientist" became a job title.
• Across more than a decade of senior data leadership at AppNexus, Xander, Qualtrics and now Candid, she's watched our field get born and then reinvent itself again and again.

In today's episode, Catherine traces the data science and AI evolution — from Bayesian models to BERT to today's LLMs — and shares sharp guidance on which skills will still matter as machines take over more of the technical work.

The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.