Speaker: Jessica Yung

Machine Learning blogger and entrepreneur, Self-Driving Car Engineer Scholar @nvidia

Jessica is a research masters student in machine learning at University College London supervised by Prof. John Shawe-Taylor and André Barreto (Google DeepMind). She was previously at the University of Cambridge and was an NVIDIA Self-Driving Car Engineer Scholar. She applied machine learning to finance at Jump Trading and consults on machine learning.

 

Jessica is keen on sharing knowledge and writes about machine learning and how to learn effectively on her blog at JessicaYung.com.

Find Jessica Yung at

Preliminary tracks

Discover some of the topics you will see at QCon London. *The schedule is subject to change

Event-Based Architectures: The Hard Parts

Architectures You've Always Wondered About

Building High Performing Teams

Scaling Security, from Device to Cloud

From Remote to Hybrid Teams: Return to Office?

Performance/Mechanical Sympathy

Next Generation Microservices: Building Distributed Systems the Right Way

Modern Data Pipelines & Streams

The Cloud Operating Model

Chaos and Resilience: Architecting for Success

Scaling Frontend

Modern JVM Innovations

MLOps: Implementing ML Across the Enterprise

Architecting a Modern Financial Institution

Crafting the Developer Experience

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