Tom Hope

Tom Hope is an applied machine learning researcher and data scientist with extensive background in academia and industry.

He has background as a senior data scientist in large international corporation settings, leading data science and deeplearning R&D across multiple domains including web mining, text analytics, computer vision, sales and marketing, IoT, financial forecasting and large-scale manufacturing. Previously he was at a successful e-commerce startup in its early days, leading data science R&D. He has also served as a data science consultant for major international companies and startups. His research in computer science, data mining and statistics revolves around machine learning, deep learning, NLP, weak supervision and time-series.