Rosalind O’Driscoll is a Senior Policy Officer for Air Quality at the Greater London Authority (GLA). Her role involves modelling for the London Environment Strategy and London Atmospheric Emissions Inventory. Before joining the GLA Rosalind graduated from Imperial College London with a PhD addressing uncertainties in real world emissions from passenger cars, and modelling the policy implications of these uncertainties.

Marios Michailidis is one of the most well-known competitive data scientists who was ranked #1 out of half a million competitors on Kaggle. Marios is currently a competitive data scientist at H2O.ai, where he works on Driverless AI, a machine learning automation software. Prior to H2O.ai, he was a data science manager at Dunnhumby. He is also a creator of StackNet, an open source ensemble-learning framework. He holds a BSc in Accounting Finance from the University of Macedonia in Greece, an MSc in Risk Management from the University of Southampton, and a PhD in Machine Learning from the University College London (UCL).

Claudia Perlich is a Senior Data Scientist at Two Sigma in New York City. Prior to her role at Two Sigma, she was the Chief Scientist at Dstillery where she designed, developed, analyzed, and optimized machine learning that drives digital advertising to prospective customers of brands. She started her career in Data Science at the IBM T.J. Watson Research Center, concentrating on research in data analytics and machine learning for complex real-world domains and applications. She tends to be domain agnostic having worked on almost anything from Twitter, DNA, server logs, CRM data, web usage, breast cancer, movie ratings and many more. Perlich is an active public speaker and has published over 50 scientific publications as well as a few patents in the area of machine learning. She received her PhD in Information Systems from the NYU Stern School of Business, and holds a Master of Computer Science from Colorado University.

Jacob Spoelstra is the Director of Data Science at Microsoft where he leads a group of machine learning specialists focused on helping Microsoft’s enterprise customers develop and deploy advanced analytics solutions. Previously he led the Azure Data Group where his team was responsible for machine learning-based products and processes on the Microsoft AI stack. Prior to Microsoft, Jacob was the global head of R&D at Opera Solutions, where he led the development of key Opera innovations, including a patented adaptive auto auction pricing solution utilizing Kalman filters, and collaborative filtering techniques to detect revenue leakages in medical bills. He headed up the Opera Solutions team that, as part of “The Ensemble,” ended up “first equals” in the Netflix Grand Prize, beating out over 41,000 other entrants. Jacob has held analytics leadership positions at FICO, SAS, ID Analytics, and boutique consulting company BasePoint. He holds BS and MS degrees in Electrical Engineering from the University of Pretoria, and a PhD in Computer Science from the University of Southern California.

Marios Michailidis is one of the most well-known competitive data scientists who was ranked #1 out of half a million competitors on Kaggle. Marios is currently a competitive data scientist at H2O.ai, where he works on Driverless AI, a machine learning automation software. Prior to H2O.ai, he was a data science manager at Dunnhumby. He is also a creator of StackNet, an open source ensemble-learning framework. He holds a BSc in Accounting Finance from the University of Macedonia in Greece, an MSc in Risk Management from the University of Southampton, and a PhD in Machine Learning from the University College London (UCL).

Abhishek Thakur is a data science evangelist. He currently works as chief data scientist at boost.ai building state-of-the-art chatbots primarily for banking and insurance industries. His passion lies in solving difficult world problems through data science. He is the co-organizer of the Berlin Machine Learning Meetup and not long ago was ranked no. 3 worldwide on the Data Science Platform Kaggle. Abhishek did his Bachelors in Electronics Engineering from India and moved to Germany for pursuing MSc from University of Bonn, Germany with a focus on image processing and computer vision. He dropped out of PhD in 2015 and since then has been working in industries.

Gilberto Titericz is a Lead Data Scientist at Ople.ai, where he develops AI products that automate data science process. Prior to Ople.ai, he worked at AirBnB, Petrobras, and Siemens. Gilberto is well-known for his track record in machine learning competitions. He participated in over one hundred competitions, won at fourteen competitions, and finished top 10 at over thirty competitions. He held #1 rank at Kaggle for more than two years. He holds a BSc in Electrical Engineering and a MSc in Telecommunications from the UTFPR in Curitiba, Brazil.