Ople | Kaggle Grandmaster
Gilberto TitericzOple | Kaggle Grandmaster
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.
Alipio JorgeINESC TEC
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).
Miguel CabreraNew Yorker
Miguel works as Senior Data Scientist for New Yorker, a German clothing retailer. He leads a multidisciplinary team implementing end-to-end solutions within the company.
Previously he worked at TrustYou processing millions of hotel reviews from across the web. Miguel obtained a M.Sc. degree in Computer Science from TU in Munich with an honors Masters in Technology Management. In Munich he founded and ran the Munich DataGeeks, the second largest ML/Data Science group in Germany. In Berlin he was part of the organization team of PyData Berlin 2017 and he had volunteered in many editions of Europython.
Coming to the Data Science field from a Software Engineer background he is a strong believer in applying Software Engineering practices to the Data Science craft.
When not using his computer Miguel enjoys playing Latin American folk music and practicing Brazilian Jiu-Jitsu.
Hugo PenedonesGoogle DeepMind
Hugo has been doing Machine Learning research and applications since 2005, in different fields including time series analysis, computer vision, online ranking, bioinformatics and reinforcement learning. This path led him to diverse workplaces such as the European Space Agency, EPFL, Microsoft and Google DeepMind. He loves to find neat solutions for real world problems.
Mariana is a Data Engineer at QuantumBlack, a Mckinsey company. She joined QuantumBlack in April 2018 and has worked in the pharmaceutical and banking industries ever since. Her role is to work closely with data scientists to build enterprise level end-to-end big data solutions from ingestion to feature engineering.
Prior to joining QuantumBlack, Mariana worked a Data Analyst for Keboola in London. She graduated in 2017 from the University of Porto (FEUP) with a Master’s degree in Mechanical Engineering.
Rui BarrosRádio Renascença
Rui Barros is a data journalist at Rádio Renascença since 2016. There, he works with code and databases to build interactive features and get new data-driven stories. He is also responsible for Renascença's Open Data Portal, the first open data initiative from a Portuguese media outlet.
Rui graduated in 2016 from University of Minho with a Bachelor's degree in Communication Science. Currently, he is writing a Master's Thesis about the forces shaping innovation on his newsroom.
University of Coimbra
Catarina MaçãsUniversity of Coimbra
Catarina Maçãs has an Undergraduate and Master degrees in Design and Multimedia from University of Coimbra. Currently, she is enrolled in the Doctoral Program of Information Science and Technology of the University of Coimbra and is a teaching assistant at the Department of Informatics Engineering of the University of Coimbra. She is also a researcher at the Computational Design and Visualization Lab (CDV), which is part of the Centre for Informatics and Systems of University of Coimbra (CISUC). Her research focuses on Information Visualisation, more specifically in the visualisation of temporal events for the understanding of patterns and trends.
Nemanja Radojkovic, electrical engineer-turned-Data Scientist, PhD dropout, working as a Senior Data Scientist at dataroots, a feisty boutique consultancy based in Leuven, Belgium.
Jiu-Jitsu enthusiast, abusing data until it confesses everything. Loves talking long walks through Random Forests. Favorite fruit: LIME