25 and 26 October 2019, Porto
Superb background for discussion and networking with other experts.
Leaders, practitioners and trainers from all over the world.
Energizing and high quality talks.
Case studies and/or personal experiences related with Data Science.
Workshops & Activities
Gilberto is the leading data scientist at Ople, where he develops artificial intelligence products that automate the data science process. Prior to Ople, he worked at Airbnb, Petrobras and Siemens. He is well known for his extensive track record in winning machine learning competitions. Gilberto had held the #1 position at Kaggle for more than two years and holds a master's degree in electrical Engineering from UTFPR Curitiba, Brazil.
Alípio Jorge is an associate professor of the Faculty of Science of the University of Porto, where he leads the Department of Computer Science. He is the coordinator of LIAAD, Laboratory of Artificial Intelligence and Decision Support of INESC TEC. He holds a Ph.D. and a degree in Computer Science from U. Porto and a Master's Degree in Foundations of Advanced Information Technology from Imperial College London and has been an active researcher in Machine Learning and Data Mining with a focus on Information Extraction and Recommender Systems. He leads research projects and technology transfer in data mining and artificial intelligence and regularly organizes conferences in the area, such as the ECML-PKDD machine learning conference in 2005 and 2015, and was vice-president of APPIA - Portuguese Association of Artificial Intelligence from 2000 to 2008. He is the director of the Masters in Data Science at FCUP and launched the Master in Data Analysis and Decision Support Systems from FEP. He is currently the coordinator of the team defining the Portuguese AI strategy.
Szilard studied Physics in the 90s and obtained a PhD by using statistical methods to analyze the risk of financial portfolios. He worked in finance, then more than a decade ago moved to become the Chief Scientist of a tech company in Santa Monica, California doing everything data (analysis, modeling, data visualization, machine learning, data infrastructure etc). He is the founder/organizer of several meetups in the Los Angeles area (R, data science etc) and the data science community website datascience.la. He is the author of a well-known machine learning benchmark on github (1000+ stars), a frequent speaker at conferences (keynote/invited at KDD, R-finance, Crunch, eRum and contributed at useR!, PAW, EARL, H2O World, Data Science Pop-up, Dataworks Summit etc.), and he has developed and taught graduate data science and machine learning courses as a visiting professor at two universities (UCLA in California and CEU in Europe).