Angie Ma and Scott Stevenson share their experience and lessons learned from having worked on over 160 commercial data science projects with over 120 organizations from different sectors and industries.
Angie Ma is cofounder and COO of Faculty, a London-based AI tech startup that provides strategy, software, and skills. Faculty has delivered more than 300 commercial data science projects across 23 sectors and 8 countries. Angie is passionate about real-world applications of machine learning that generate business value for companies and organizations and has experience delivering complex projects from prototyping to implementation. A physicist by training, Angie was previously a researcher in nanotechnology working on developing optical detection for medical diagnostics.
Scott Stevenson is a senior data scientist at Faculty, where he develops and deploys state-of-the-art machine learning models. He leads Faculty’s research into the use of deep learning for realistic speech synthesis, and architected core components of the Faculty platform. His work has been featured by the BBC, CNBC, Sky, and The Telegraph. Outside of Faculty, he maintains and contributes a range of open source software. Scott holds a DPhil in Particle Physics from Oxford University, and before joining Faculty carried out fundamental physics research at CERN and Stanford University.
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