Causal Inference

Date & Time
Tuesday, 23 July, 2019 - 18:30 to 20:30
Food and beverages served?
Seminar room
Type of event
Public Event (Open for walk-ins)

Consider an organisation, government or person wants to make a decision, using historical data. In this type of analysis the commonly known fact that “correlation does not imply causation” comes to life. It is crucial to distinguish between events that *cause* existing inefficiencies and those that merely correlate. Causal inference aims to determine which available controls drive specific outcomes. This is a distinctly more demanding condition than learning the correlation. Many machine learning approaches disregard causal inference, despite a wide range of approaches to causal inference have been proposed in the literature.

These talks will discuss the importance of causal models, as well as some of the most state of the art methods for reasoning.

After the talks, there will be opportunity to network and enjoy free pizza & beer!


6:30pm - 6:45pm Meet and greet

6:45pm - 7:45pm
- Welcome
- Causal inference & Bayesian networks - Dr Paul Beaumont, QuantumBlack
- Some recent advances in instrumental variable research - Prof Jialing Li, NUS
- Causal Inference and Policy Evaluation - Prof Jubo Yan, NTU
- Q&A

7:45pm - Networking

Speaker Bio:

Paul Beaumont is a Senior Data Scientist at QuantumBlack. He works on statistical models for explanatory, predictive and prescriptive problems, and his role involves designing mathematical models to help clients understand pertinent questions about their data. Paul holds a PhD in Mathematics & Computer Science, and leads QuantumBlack’s R&D efforts in Causal Inference.

Jialiang Li is an Associate Professor in the Department of Statistics & Applied Probability at the National University of Singapore. His primary research interests are personalized medicine, diagnostic medicine, statistical learning and survival analysis

Jubo Yan is an assistant professor in Economics at Nanyang Technological University. His primary research interests are behavioral economics and experimental economics especially the topics that concern individual decisions under risk and uncertainty.


This event is sponsored by QuantumBlack & BLOCK71

QuantumBlack is an advanced analytics firm operating at the intersection of strategy, technology and design to improve performance outcomes for organisations.

BLOCK71 is the venue sponsor and is a partnership between NUS Enterprise and Singtel Innov8.