Technical Talks

Adam Kelleher

Chief Data Scientist for Research | Barclays Investment Bank

Causal Data Science

Data scientists are often asked causal questions, like "what would happen if we did X?", but are often can't run experiments to answer them. There's a mature literature on methods for causal inference, but it takes a big time investment to develop the skills to understand the methods and pitfalls. Ill argue for the need to invest this time, and give a quick overview of methods and tools, including my causality python package.

Chief Data Scientist for Research

Adam Kelleher

Barclays Investment Bank

Adam spent more than 4 years at Buzzfee where he was a Principal Data Scientist. Adam holds a PhD in physics. He's now heading Barclays's research data science team, and teaching applied causal inference at Columbia's Data Science Institute where he is a Adjunct Assistant Professor.