Pere is an independent consultant and entrepreneur specialized in distributed systems. He has worked in technologically challenging environments for more than 10 years. He co-founded Datasalt as CTO, created two open-source projects on top of Hadoop (Pangool - an easier API for Hadoop, and Splout SQL - a distributed, low-latency read-only database), founded the "Big Data Beers" meetup and is currently advising and architecting mission-critical applications with cutting-edge technology such as Apache Spark.
Adam Drake | CEO
Adam Drake is CEO / Chief Data Officer one of the premier technical leadership and data consulting companies in Southeast Asia. Before that he worked as Chief Data Officer at Skyscanner, one of the world's most successful online travel companies. He has been in technology roles for over 15 years in a variety of industries, including online marketing, financial services, healthcare, and oil and gas. His background is in Applied Mathematics, and his interests include online learning systems, high-frequency/low-latency data processing systems, recommender systems, distributed systems, and functional programming (especially in Haskell).
Mikio Braun, PhD
Mikio is Delivery Lead at Zalando, a data science researcher and blogger. He previously was co-founder of Streamdrill, a company focussing on real-time data analysis. He is part of the Berlin Big Data Competence Center, which aims to bring together machine learning and scalable technologies to create the next generation of Big Data infrastructure. He is also the author of jblas, a fast matrix library for Java which is used by PayPal, and Breeze, and Apache Spark.
Dr. Jose Quesada | Entrepreneur
Jose Quesada is the founder and director of DSR. Jose helps others decide better, do better, or be better through data. Like everyone else, he doesn’t know what data science really is, but suspects it has to do with predicting the future before it catches you empty-handed. He has a PhD in Machine learning and worked at top research labs (U. of Colorado, Boulder, Carnegie Mellon, Max Planck Institute). Previously he was a data scientist consultant, specializing in customer lifetime value, and as the head data scientist for GetYourGuide.
Dr. Trent McConaghy | CTO
Trent is co-founder and CTO of Ascribe, which uses modern crypto, ML, and big data to tackle challenges in digital property ownership. His two previous startups applied ML in the enterprise semi-conductor space: ADA was acquired in 2004 and Solido is going strong. He has an engineering PhD in applied ML from KU Leuven, Belgium. His interests include large scale regression, automating creativity, anything labeled "impossible", and thousand-fold improvements. He was raised on a pig farm in Canada.
Arunkumar Srinivasan is finishing a PhD in Bioinformatics from the Max Planck Institute. He started using R in late 2011 and is coauthor of the data.table R package, which offers fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns and a fast file reader (fread). Arun has a passion for developing tools and algorithms facilitating Big Data analyses.
Marek Gagolewski, PhD
Marek is a true R hacker and enthusiast since the Paleozoic era of R_1.4.0. Author of a best-selling Polish book on R programming and many R packages, including the famous stringi packages. Computer programmer since the age of 6 (C64 basic, C/C++, assembler, PHP, Java, VHDL, bash, Julia, Maxima, Lisp, Fortran and many others). Marek has a PhD in computer science and specializes in data aggregation, fusion and mining, computational statistics, and uncertainty modeling. Currently an assistant professor and a tutor and mentor at the Warsaw University of Technology, Poland.
Daniel Nouri | Entrepreneur
Daniel is an expert software engineer, Python programmer, and machine learning specialist. When he's not developing high-performing, end-to-end pattern recognition and predictive analytics systems for his clients, Daniel's learning new tricks to train deep neural networks more efficiently. Through his company Natural Vision, he's been successfully applying deep learning to problems in bioacoustics, computer vision, and text mining.
David Anderson | CTO
David began his career as a senior research scientist at Carnegie Mellon University, Mitsubishi Electric Research Labs, and Sun Labs. His research career focused on tangible user-interfaces and real-world applications of machine learning. Since 2005, David has been leading the development of data intensive applications for companies across europe — most recently as CTO at RetentionGrid.
Amélie Anglade is a Data Science and Music Information Retrieval (MIR) Consultant. She has perfected her skills at R&D labs like Sony CSL and Philips Research, before obtaining a PhD in MIR. Now mostly working with music startups (such as SoundCloud, Senzari, frestyl) she enjoys working on various music data problems from recommender systems to audio signal processing, via re-ranking and classification algorithms. With her background (MSc.) in CS she enjoys not only coming up with innovative mathematical solutions but also takes pride in implementing, deploying and scaling them up to support Big Data herself.
Jesús Martínez Blanco
Jesús holds a PhD in physics from Universidad Autónoma de Madrid. After working for many years as a scientist in several international research labs, he followed his passion on data related problems and pursued a career in Data Science. In his current position he is in charge of developing predictive models to help e-commerce choose their recommendations. He is often amazed of how simple interactive visualizations can help communicating complex ideas.
Steve is a software engineer with a background in testing, messaging and distributed system design. After studying Computer Science at Cardiff University, Steve worked at IBM on a variety of projects, from Mainframes to Microservices and currently works for HERE Deutschland as a test engineer on Microservices and IoT systems.
Daniel holds degrees in Computer Science and Economics from Universidade Federal do Rio Grande do Sul. He worked for 10 years as developer of financial systems and another 6 years in the Debt Management Office of Rio Grande do Sul State Treasury. Being a fanatic learner and having a passion for data in all its forms, he started collecting, structuring, cleaning and analyzing datasets in his own time, leading to several papers that have won the Brazilian's National Treasury Awards from 2012 to 2015. In 2015, he moved to Germany to pursue a career in Data Science. Currently, Daniel works as Senior Python Developer in the Data Science Team at Crosslend.
Gerrit is a practising data scientist at Publicis and a PhD candidate in machine learning with a double degree in mathematics and computer science. He has a never-ending drive to extend his broad knowledge and convert it to useful results as shown during his years of teaching and software development in NLP and predictive maintenance. His unbiased eye has a track record to find the most useful methods and libraries such as Apache Spark or Flink, and is able to discriminate between mere hype and substance.
Lucía is a data scientist with a background in computational astrophysics. Her interests range from machine learning and content discovery to scholarly publishing, algorithms, natural language processing, and online media.Lucia is currently building the recommender system for the outdoor navigation app Komoot. In the past she worked on author identification and name disambiguation in large-scale publication databases, did data analysis for gravitational-wave searches, and ran black-hole simulations on supercomputers.
Ludwig is a computer vision engineer at EyeEm. Last year he put his PhD on content-based image retrieval on hold to join the photography startup. There he uses deep learning on the over 50 million images from the EyeEm community to teach computers to find and understand beautiful photographs. Ludwig is a Python fanboy and enjoys reading comments on the internet.
Pawel has a background in Finance and Banking. He worked for 6 years in one of the biggest banks in Poland as a reporting specialist. Then after many successes in online competitions (he’s a 4-time Kaggle prize winner), he switched to working in data science. His favorite methods involve ensembling and tree based methods. Currently he is a lead data scientist in an e-commerce company where he works on Natural Language Processing analytics.