Planning for the ODSC Europe 2020 Virtual Conference is well underway and we’re excited to announce the next group of expert speakers who will be sharing their knowledge and expertise with you this September 17-19.
By registering now for 60% off ticket prices, you’ll be all set to attend an event that attracts some of the leading data scientists in Europe to speak, such as with the names below. There’s something for everyone, ranging from introduction to machine learning talks for the aspiring data scientists, to a track devoted to novel research designed for the seasoned expert.
During the conference, speakers will be leading hands-on training sessions, workshops, and talks on a diverse range of topics, including NLP | machine learning | quant finance | deep learning│data visualization│data science for good│image classification│transfer learning│recommendation systems│and much, much more.
Below are just a few of the acclaimed speakers and instructors who will be attending:
Hugo Bowne-Anderson, PhD: Data Scientist | DataCamp
Hugo has developed over 25 courses on the DataCamp platform, impacting over 300,000 learners worldwide through his own courses. He previously also hosted DataFramed, the DataCamp podcast, loves teaching Bayesian data analysis and aspires to reduce as much “computational anxiety” in the world as he can through pedagogy.
His talk, “Bayesian Data Science: Probabilistic Programming,” will introduce you to the wonderful world of Bayesian data science through the lens of probabilistic programming in Python.
Andrey Golub, PhD: Co-Founder, CEO & CTO | ELSE Corp
Andrey is a business transformation and technology innovation professional, 17+ years as R&D manager, contract professor, and a strategy consultant, specialized in the development and launch of innovative DeepTech products and services, mainly cloud computing and artificial intelligence.
His talk, “Integrating Small Data, Synthetic Data in AI and Data Strategy for Fashion Retail,” will illustrate practical and visual examples from the fashion retail sector, including some approaches and methods for using small and synthetic data for the training of AI and big data systems.
Bill Shander: Founder | Beehive Media
Bill is an information designer, helping clients turn their data into compelling visual and often interactive experiences. He teaches data storytelling, information design and data visualization on LinkedIn Learning and in workshops for clients around the world. Bill is also Communications Director on the board of the Data Visualization Society. His clients include the World Bank, United Nations, Starbucks, American Express, Deloitte, and various agencies of the U.S. Government.
His talk, “From Numbers to Narrative: Turning Raw Data into Compelling Visual Stories with Impact,” you will learn about some of the best practices for data storytelling and visualization and walk away with a new way of thinking and some practical tips you can put to work the moment the session is done.
Dr. Lora Aroyo: Research Scientist, Professor in Computer Science | Google, Columbia University
Lora Aroyo is a Full Professor in Computer Science. Currently, she is a visiting professor at the Data Science Institute at Columbia University. She is also Chief of Science for a NY-based startup Tagasauris, and the president of the User Modeling community (UM Inc) which serves as a steering committee for the ACM Conference Series “User Modeling, Adaptation and Personalization” (UMAP) part of both SIGCHI and SIGWEB. She is also a member of the ACM SIGCHI conferences board, in her role as the UMAP steering committee chair. She headed the User-centric Data Science group at the Department of Computer Science, Vrije Universiteit Amsterdam, The Netherlands, and was a member of the Amsterdam Data Science and the Network Institute.
Lora is also involved in a number of research projects and in the organization of conferences, workshops, and tutorials focussing on crowdsourcing and human computation, collecting data, data quality assessment, and especially hybrid human-AI systems for understanding text, image, and video. She has led major research projects in semantic search, recommendation systems, event-driven access to online multimedia collections, and through these has become a recognized leader in human computation techniques for specific domains, such as digital humanities, cultural heritage, and interactive TV.
𝗜𝗻𝗲́𝘀 𝗛𝘂𝗲𝗿𝘁𝗮𝘀 𝗙𝗿𝗲𝗶𝗿𝗲: Chief Data Officer | Incubhealth
Ines Huertas is a big data and machine learning expert, and a coordinator in Rladies Madrid and Datanauts in the Open Data NASA Program. She participates as a speaker in different conferences, in 2015 she founded her own Big Data and ML startups, of which she was CEO for 4 years. She currently advises companies within the data area.
Daniel Whitenack: Instructor, Data Scientist | Data Dan
Data Dan is a PhD trained data scientist who has been developing artificial intelligence applications in the real world for over 10 years. He knows how to see beyond the hype of AI and machine learning to build systems that create business value, and he has taught these skills to 1000’s of developers, data scientists, and engineers all around the world. Now with the AI Classroom event, Data Dan is bringing this knowledge to a live, online learning environment so that you can level up your career from anywhere!
Dan will host two talks at ODSC Europe, “Advanced NLP with TensorFlow and PyTorch: LSTMs, Self-attention and Transformers” and “State of the art AI Methods with TensorFlow: Transfer Learning, RL and GANs.”
Dr. Natasha Latysheva: Machine Learning Research Engineer | Welocalize
Dr. Natasha Latysheva is a machine learning engineer in the NLP group at Welocalize. Previously she worked with a video game studio, where she used NLP, sentiment analysis, word embeddings, and topic extraction on chat and forum text data. Her interests include sequence modeling, NLP, deep learning, computational and molecular biology, language, and video games.
Her talk, “Sequence Modelling with Deep Learning,” will provide an overview of popular sequence-based problems, impart an intuition for how the most commonly-used sequence models work under the hood, and show that quite similar architectures are used to solve sequence-based problems across many domains.
Dr. Colin Gillespie: Senior Lecturer | Newcastle University
With more than 15 years of experience at Newcastle University, Colin Gillespie is a seasoned lecturer on the subjects of statistics and R. He is also the co-founder of Jumping Rivers, a data science & machine learning consultancy, and the author of several R packages and the book, Efficient R Programming. His current research is focused on systems biology and statistical bioinformatics.
In Colin’s session, “R for Python Programmers,” you’ll learn some fundamentals of R as to how it may be similar to Python. Some highlights include learning how to install and load R packages, import and export data into R, compare R and Python, and more.
Sonja Tilly: PhD candidate & Researcher | UCL & Quoniam Asset Management
Before becoming a PhD candidate and researcher at UCL, Sonja Tilly spent over a decade working in asset management, where she used media sentiment to aid in the development of trading strategies. In her research, she strives to use NLP and Big Data to more fully capture the narrative and emotions in news media to “improve short-term forecasts for economic variables”.
Sonja’s talk, “Forecasting the Economy with Fifty Shades of Emotions,” introduces a multi-step methodology for filtering and aggregating emotions from GDELT’s GKG.
Diego Galar, PhD: Professor of Condition Monitoring | Luleå University of Technology
Author of several hundred conference and journal papers, technical reports, and books in the maintenance field, Dr. Diego Galar is a Full Professor of Condition Monitoring in the Division of Operation and Maintenance Engineering at LTU, Luleå University of Technology. Dr. Galar also is a member of numerous scientific committees and editorial boards, chairs international journals and conferences, and participates in international and national committees for standardization and R&D of reliability and maintenance. He has also helped many visiting Professor positions, including at University of Valencia and NIU, University of Maryland, Chongqing University, and the University of Sunderland.
Diego’s talk, “Industrial Artificial Intelligence – The Driving Force,” will show how the growth of industrial artificial intelligence is reimagining the industries in many dimensions. Companies are learning how to use their data to not only analyze the past but predict the future as well.
Joanneke Meijer: Data Science Manager | Amsterdam Data Collective
A Manager at Amsterdam Data Collective, Joanneke Meijer is passionate about “turning data into actionable insights”. As the initiator of the sustainable benchmark, she combined this passion with her commitment to sustainability to build a data source of clothing brands and their sustainability ranking. Meijer is also an experienced data science consultant, who has helped clients with forecasting, pricing, operational research, and text mining.
Joanneke’s talk, “Sustainable Retail Through Open Source, Scraping and NLP,” will focus on her team’s unique approach to setting up open-source NLP projects, including the technical challenges and solutions and how NLP can be applied to retail.
Brendan Tierney: Architect | Oralytics
Brendan Tierney, Oracle GroundBreaker Ambassador, and Oracle ACE Director, is an independent consultant (Oralytics) and lectures on data science, databases, and Big Data at the Technological University Dublin. He has over 27+ years of experience working in the areas of data mining, data science, machine learning, big data, and data warehousing. Tierney has published five books.
Brendan’s talk, “Ethical Issues for Data Science, Machine Learning and Artificial Intelligence,” will examine some of the main concepts involved in Data Ethics and will use a number of different case studies to illustrate the different challenges being encountered and how these can be addressed considering various legal aspects.
Laura Mitchell: Lead Data Scientist | MagicLab
Laura Mitchell, Lead Data Scientist at MagicLab, has over 10 years of experience in data science and tech. Over the course of her career, Mitchell’s work has focused on projects that used computer vision, recommender systems, and natural language processing. She is also one of the authors of Deep Learning with PyTorch 1.x.
Laura’s talk, “Image Detection as a Service: How we Use APIs and Deep Learning to Support our Products,” will explain how to create an online image classifier by deploying deep learning models with the use of Flask and Docker, among other insights.
This list comprises only a few of the exceptional speakers who will be presenting at the ODSC Europe 2020 Virtual Conference. Check out our web page for frequent updates on speakers and topics. We’re still accepting applications for ODSC Europe speakers and content committee members – learn more here about how you can get involved.
