Speaker Line-up 2019

Brian O’Neill
Product Designer and UX Consultant
Brian O’Neill

Brian T. O’Neill is a product designer and founder of the consultancy, Designing for Analytics, which provides design and UX consulting for custom enterprise data products and apps. For over 20 years, he has worked with companies including DELL/EMC, Tripadvisor, Fidelity, NetApp, MITRE, JP Morgan Chase, ETrade and numerous SAAS startups. Today Brian focuses on helping clients create more useful, usable, profitable, and engaging decision support software and information products. In addition to consulting, Brian is also an international speaker and podcast guest, having appeared at multiple O’Reilly Strata conferences, Predictive Analytics World in Berlin, and on the IBM Analytics podcast, Making Data Simple. He also authored the Designing for Analytics Self-Assessment Guide for Non-Designers, maintains an active mailing list, and hosts the podcast, Experiencing Data. Earlier in 2018, Brian joined the International Institute for Analytics’ Expert Network as an advisor on design and UX. A musician by training, Brian is also a professional percussionist in Boston. He tours internationally and has performed at Carnegie Hall and The Kennedy Center. Follow him on Twitter (@rhythmspice) or join the mailing list at designingforanalytics.com.

Carlo Carandang
Senior VP
KARV Data Consulting
Carlo Carandang

Dr. Carlo Carandang is Senior Vice President at KARV, a data science consultancy in Halifax, Nova Scotia, Canada, and functions as a data scientist for the Company. Dr. Carandang has technical expertise in machine learning, statistics, analytics, and software development. He has multiple degrees, including a Master of Science in Computing and Data Analytics from Saint Mary’s University- Halifax, MD from the University of Texas Medical Branch at Galveston, and BS in Chemical Engineering from the University of Texas at Austin. Previously a clinical researcher and psychiatry attending at multiple hospitals and medical schools in Texas, Maine, Vermont, and Nova Scotia, Dr. Carandang has switched full-time into data science and now focuses on building algorithms and software for business and clinical use. He hopes to be part of the initiative to bring Big Data, machine learning, and AI to psychiatry.

David Ellis
Managing Director
Station10
David Ellis

David is the founder and Managing Director of Station10, a digital data science consultancy based in London, UK. Started in 2011, Station10 now employs a team of 21 people with experience working with dozens of clients across sectors spanning from retail and travel to finance and insurance. He has delivered proven results for over 40 clients including Tesco, Ted Baker, Legal & General, Boehringer Ingelheim, TUI and Virgin Atlantic. David has 20 years’ experience in proving ROI in digital channels and understanding how visitors behave on websites and how to use this information to drive business performance.

Didem Ün Ateṣ
Sr. Director, AI Customer & Partner Engagement
Didem Ün Ateṣ

Following her Electrical Engineering and Management studies at the University of Pennsylvania, Didem started her career with management consulting at CapGemini in Boston, MA. She then contributed to the growth of mobile industry in EMEA during her eight years with Motorola. After graduating from Columbia Business School (CBS) in 2005, Didem continued her career at Greenwich Consulting (now part of EY) and British Telecom in London, UK. 

Her passion for convergence of online, mobile, and digital media led her to join Microsoft’s Information & Content Experiences Group where she and her team signed c. 1,500 partnerships with leading media companies across 60 markets. She held other business development and partner management roles as part of Microsoft Accelerators and the Business AI teams. In her current role, Didem is focusing on scaling Microsoft’s Enterprise AI solutions such as Dynamics365 AI for Customer Service. 

Didem has 20+ years of multinational leadership experience in business development, management consulting, and product management in executing international roll outs, implementing new market entries, and building new revenue streams from disruptive technologies in EMEA, APAC, and LatAm. 

Dr. David Stephenson
Author and Founder
Dr. David Stephenson

Dr. David Stephenson is an independent consultant in the field of data science and big data analytics and author of the forthcoming Pearson publication, “Big Data Demystified:  How to make better business decisions”. He has led global analytics programs for companies such as eBay, Axel Springer and Coolblue (a skyrocketing ecommerce player in the Netherlands) and has worked extensively in insurance, capital markets, and financial risk management. He has also served as an expert advisor to top-tier investment, private equity and management consulting firms.

David completed his Ph.D. at Cornell University and was subsequently Professor at the University of Pennsylvania, teaching applied analytics to graduate students in the engineering and Wharton business schools.

David is currently based in Amsterdam.

Dr. John Elder
Founder & Chair
Dr. John Elder

John Elder chairs America’s most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina and Washington DC. Dr. Elder co-authored 3 award-winning books on analytics, which is a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. John is occasionally attached to Adjunct Professor of Systems Engineering at the University of Virginia.

Dr. Yuri Katz
Director Data Science
Dr. Yuri Katz

Dr. Yuri Katz has over twenty years of experience in quantitative predictive analytics and information technology in the financial industry, including senior positions in systems’ development and architecture. Prior to his current role, he was the A.v.Humboldt Fellow at the University of Konstanz, Germany. Yuri received his Ph.D. in Chemical Physics from the Institute of Chemical Kinetics & Combustion, Russian Academy of Sciences. His current R&D interests include credit risk modeling, long-term social discounting, and topological data analysis as well as big-data predictive analytics, NLP and Machine Learning. Yuri has published a number of reviews and numerous research papers (50+) in high-impact journals on time-series analysis and financial modeling, magnetic spin effects in chemical reactions and spin-based quantum computing.

Egge van der Poel
Teamlead Data & Health
Egge van der Poel

Egge holds a BA in Philosophy and a PhD in Elementary Particle Physics (i.e. tiny tiny particles). He searched for (and found…) the Higgs particle at the Large Hadron Collider of CERN, in Geneva. After his PhD at CERN he trained to be a Medical Physicist and was a Big Data consultant at KPMG before taking on the newly created function of Clinical Data Scientist at the Erasmus Medical Centre in Rotterdam. In addition he advices many organisations about Big Data, teaches courses on it at various academic institutions and is an experienced public speaker on the subject of Big Data. He coordinates executive education programs at TIAS Business School (www.tias.edu) and at the Jheronimus Academy of Data Science (www.jads.nl).

Joost Zeeuw
Data Scientist
Joost Zeeuw

Joost graduated in both Nuclear Technology and Innovation Management, with distinction, at the Delft University of Technology. In both programs he focussed on developing and implementing innovative technology in healthcare. Joost has a role as Data Scientist, as well as Product Owner at Pacmed. This combination makes that he not only builds decision support algorithms, but also shapes the necessary boundary conditions to implement these algorithms in a way that is responsible, scalable and of clinical value.

Krzysztof Jackowski
Mobile Engineering Manager Supporter
Krzysztof Jackowski

Krzysztof Jackowski is an experienced software developer and team leader. He is passionate about technology and social responsibility. During his professional experience, he founded a startup, worked in technology consulting, global NGO and Greek academia spin-off. His biggest passion is finding solutions for complex problems with the simplicity of modern technology. He has vast experience in public speaking during local meetups as well as international conferences including UXDX 2017 in Dublin and Thessaloniki International Trade Fair 2013. Currently, he manages growth for the mobile team and runs mobile R&D projects in Netguru.

Leonardo De Marchi
Lead Data Scientist
Leonardo De Marchi

Leonardo De Marchi holds a Master in Artificial intelligence and has worked as a Data Scientist in the sport world, with clients such as New York Knicks and Manchester United, and with large social networks, like Justgiving. He now works as Head of Data Scientist and Analytics in Badoo, the largest dating site with over 420 million users. He is also the lead instructor at ideai.io, a company specialised in Reinforcement Learning, Deep Learning and Machine Learning training. He is also a contractor for several companies and for the European Commission, as an expert in AI and Machine Learning. As an author he is writing a book: “Hands On Machine Learning” that it’s going to be published around June, and an online course for O’Reilly.

Michelle Gregory
SVP of Data Science
Michelle Gregory

Michelle joined Elsevier in 2014 and is the SVP of Data Science. The Data Science team is focused on the content production pipelines that enable Elsevier to turn content into answers. Specifically, they combine natural language processing (NLP) and machine learning (ML) methods with domain expertise in order to enrich content into data structures, that drive the analytics that Elsevier’s products require with the quality that Elsevier’s customers expect. Michelle’s career as a computational linguist has focused on the implementation of NLP and ML methods to improve computational analysis and understanding of large amounts of data. As a research and industry leader, she focuses on defining big data solutions for language processing applicable and scalable for real world applications. 

Phil Winters
Author and Thought Leader
Phil Winters

Phil Winters is known internationally as The Father of Customer Intelligence. An independent business advisor, author,  keynote lecturer and workshop leader with 35+ years’ experience working with some 300 companies, he focuses on Customer Intelligence and championing the customer perspective to help organizations raise customer value through outstanding customer experience.

Siddhant Tiwari
Senior Data Scientist
Siddhant Tiwari

Siddhant is an experienced data science professional working as a Senior Data Scientist at AXA REV (Research, Engineering, Vision), Asia – AXA Global Technology and Innovation Center. He has over 6 years of experience in data science and analytics. His current role involves executing data science projects to support AXA entities in sales and marketing activities such as opportunity sizing, cross-sell and up-sell, product recommendations, quantifying risk, retention, and fraud using advanced machine learning techniques. Previously, at ZS Associates, he consulted many Fortune 500 pharmaceutical clients in devising sales and marketing strategies to improve brand positioning in the market using data analytics. He holds a Bachelors of Engineering (Hons.) in Electrical and Electronics from BITS Pilani, India and MSc in Business Analytics from National University of Singapore.

Yann Landrin-Schweitzer
Sr. Director, Machine Learning
Yann Landrin-Schweitzer

After an early start in mechanical engineering, Yann has been working on Data Science, AI and Data Engineering at scale since 2003. He has applied these skills in various industrial contexts, in several social media startups, in advertising giants like Yahoo, and digital content creators and distributors like Netflix. More recently a Autodesk, he enabled a shift to data and digital at the core of the business by designing a new data platform and engineering model to serve the needs of creators and makers. He now brings his experience of data strategy to DeliveryHero, helping supercharge the delivery giant’s product and business expansion.

Yong Sun
Supervisor
Yong Sun

Tech and Team leader for three divisions: autonomous driving and machine learning/deep learning, simulations at Isuzu technical Center of America. First authored multiple technical papers on autonomous driving, Machine learning and simulations. Speaker at various conferences, including  Autonomous Vehicle Test & Development Symposium 2018, Autonomous Vehicles Silicon Valley 2019, SAE world congress 2018/2019, Autonomous driving and future mobility 2019.