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Fifteen-minute Competition Overview Video
Jack Wang · Joel Jennings · Cheng Zhang · Wenbo Gong · Simon Woodhead · Nick Pawlowski · Digory Smith · Craig Barton

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in Causal Insights for Learning Paths in Education »

Author Information

Jack Wang (Rice University)
Joel Jennings (Microsoft Research)
Cheng Zhang (Microsoft Research, Cambridge, UK)

Cheng Zhang is a principal researcher at Microsoft Research Cambridge, UK. She leads the Data Efficient Decision Making (Project Azua) team in Microsoft. Before joining Microsoft, she was with the statistical machine learning group of Disney Research Pittsburgh, located at Carnegie Mellon University. She received her Ph.D. from the KTH Royal Institute of Technology. She is interested in advancing machine learning methods, including variational inference, deep generative models, and sequential decision-making under uncertainty; and adapting machine learning to social impactful applications such as education and healthcare. She co-organized the Symposium on Advances in Approximate Bayesian Inference from 2017 to 2019.

Wenbo Gong (Microsoft)
Simon Woodhead (Eedi)
Simon Woodhead

Head of Research and co-founder of Eedi, and host of the Data Science in Education meetup in London. He leads machine learning research at Eedi, and turns this into new product features. With experience leading both product development and research, he has created award-winning edtech solutions with strong data science foundations.

Nick Pawlowski (Microsoft Research)
Digory Smith (Eedi)
Craig Barton (Eedi)

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