Carol Mak

Title

Research scientist
Carol Mak

Bio

Carol's research interest spans several areas of computer science:

  • Agentic workflows: designing systems that can automatically plan and execute complex tasks;
  • Generative machine learning: advancing techniques to create models that generate unseen contents;
  • Foundation models: investigating the capabilities and limitations of deep neural networks trained on vast amounts of data;
  • Theory of computation: exploring the theoretical foundations of computations and algorithms;
  • Probabilistic programming languages: developing new algorithms to inference complex probabilistic models.

Top collaborators

GD
Geeth de Mel

Geeth de Mel

Manager, Climate and Sustainability | Senior Research Scientist
LH
Lan Hoang

Lan Hoang

Program Manager, AI Infrastructure for Data Model Factory; Senior Inventor