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The premier machine learning conference

Speakers 2018

Predictive Analytics World London
etc.venues, 200 Aldersgate, 17-18 October, 2018

Paul Aerts
Paul Aerts

Advanced Analytics Manager

Paul Aerts is Advanced Analytics Manager at Liberty Global's Telenet division, and is head of the team of data scientists in the BI Advanced Analytics department.

Wouter Buckinx, PhD
Wouter Buckinx, PhD

Managing Partner

Wouter Buckinx is co-founder and Managing Partner at Python Predictions, a Brussels-based service provider specialized in data science projects with impact. Python Predictions has a strong legacy in predictive projects in a business context, and success cases of applied data science in marketing, risk, operations and HR. Founded in 2006, Python Predictions is active in b2b and b2c retail, financial services, utilities, postal services, manufacturing, telecommunications, entertainment and fundraising (www.pythonpredictions.com).

John Elder, PhD
John Elder, PhD

Founder & Chair

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, was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. John is occasionally an Adjunct Professor of Systems Engineering at the University of Virginia, and was named by President Bush to serve 5 years on a panel to guide technology for national security.

John Elder, PhD is speaker of the following session:

Usama Fayyad, PhD
Usama Fayyad, PhD

Founder

Open Insights

Usama was recently Global Chief Data Officer at Barclays in London (2013-2016) and has sinced founded the Open Insights working on AI/Machine Learning, BigData strategy. He was the first person ever to hold the Chief Data Officer (CDO) title when Yahoo! acquired his second startup in 2004. Usama earned his PhD in engineering in AI/Machine Learning from the University of Michigan. He has published over 100 technical articles on data mining, data science, AI/ML, and databases; and holds over 30 patents.

Miguel Fierro, PhD
Miguel Fierro, PhD

Data Science and AI

Miguel González-Fierro is a Data Scientist at Microsoft UK, where his job consists of helping customers leverage their processes using Big Data and Machine Learning. Previously, he was CEO and founder of Samsamia Technologies, a company that created a visual search engine for fashion items allowing users to find products using images instead of words, and founder of the Robotics Society of Universidad Carlos III, which developed different projects related to UAVs, mobile robots, small humanoids competitions, and 3D printers. Miguel also worked as a robotics scientist at Universidad Carlos III of Madrid and King’s College London, where his research focused on learning from demonstration, reinforcement learning, computer vision, and dynamic control of humanoid robots. He holds a BSc and MSc in Electrical Engineering and an MSc and PhD in robotics.

Miguel Fierro, PhD is speaker of the following session:

Grzegorz Gawron
Grzegorz Gawron

Head of Data Science

Grzegorz Gawron is a lead software engineer/manager with interests in advanced analytics and a taste for theory. He acts as the Head of Data Science at VirtusLab. Previously doing data engineering at Base CRM. Before that trading systems for banking (PRM). … It all started with a :joy: of having the first Commodore 64 program stored securely on a magnetic tape. He holds an MSc in computer science and an MSc in economics from the University of Warsaw. Interests in data, algorithms, software engineering, distributed systems, machine learning.


Bas Geerdink
Bas Geerdink

Technology Lead

Bas Geerdink is responsible for the fast data systems that process and analyze streaming data at ING. He has a background in software development, design, and architecture with broad experience from C++ to Prolog to Scala. He studied artificial intelligence and informatics and has published research on reference architectures for big data solutions.

Vikram Godse
Vikram Godse

´Architect

João Guichard
João Guichard

Chief Science Officer

INOVRETAIL

João is Chief Science Officer at Inovretail, specializing in applying quantitative methods within the Retail Industry but also working over the past ten years in sectors such as Manufacturing, Healthcare and Pharmaceuticals. He is a frequent presenter on the topic of Applied Artificial Intelligence.

João Guichard is speaker of the following session:

Sam Han, PhD
Sam Han, PhD

Director Data Science and AI

Eui-Hong (Sam) Han is Director, Data Science & AI at The Washington Post. His team builds tools and services to provide personalized customer experience, to empower newsroom with data-driven decisions and to provide targeted advertising capability. His expertise includes AI, machine learning, data mining, information retrieval and high-performance computing. He holds PhD in Computer Science from the University of Minnesota.

Sam Han, PhD is speaker of the following session:

Berlinda Hermsen
Berlinda Hermsen

Data Scientist

Dr. Berlinda Hermsen is a data scientists at a Dutch insurance company of about 300 employees. She has a a background in Behavioural Science and 10+ years of experience in predictive analytics and machine learning. She focusses on combining analytics with explaining human behaviour and making it work for business challenges. 

Berlinda Hermsen is speaker of the following session:

Gabriel Hughes, PhD
Gabriel Hughes, PhD

CEO and Founder

Gabriel is the CEO and founder of Metageni, designing algorithms for customer journey optimisation and data driven decision making. With over 20 years experience in quantitative analytics research, Gabriel believes we are at a turning point where intelligent analytical systems can unlock the full value of big data.

Gabriel was previously Head of Attribution at Google (6 years), where he was instrumental in the development of new marketing attribution features for Google Analytics and enterprise platforms. He went on to become VP of Analytics at Elsevier, the world’s largest science publisher. He is now the CEO of Metageni, a company he founded to design algorithms for customer journey optimisation and data driven decision makin

George Iordanescu, PhD
George Iordanescu, PhD

Algorithm Specialist

Dr. George Iordanescu is a researcher in the Algorithms and Data Science Group at Microsoft, where he develops AI solutions using deep learning, computer vision, and multivariate time series forecasting. He received his PhD in EE from “Politehnica” University in Bucharest, Romania, before training as a post-doctoral fellow in computer assisted detection at www.nih.gov .

 

George Iordanescu, PhD is speaker of the following session:

Abhishek Joshi ‘AJ’
Abhishek Joshi ‘AJ’

Senior Director

Abhishek Joshi ‘AJ’ is a Sr. Director in Visa’s consulting & analytics group. He is responsible for helping financial institutions with improving growth and profitability through advanced analytics techniques. AJ has diverse experience in employing analytics to solve business problems across multiple industries – Manufacturing & Engineering, Financial Services and Telecom. 

Abhishek Joshi ‘AJ’ is speaker of the following session:

Norbert Kraft
Norbert Kraft

Research & Technology

Norbert Kraft is a senior researcher at Nokia Bell Labs, where he works to apply Big Data processing, data mining and artificial intelligence to industrial use cases in the telecommunication area.

Norbert Kraft is speaker of the following sessions:

Andreas Merentitis
Andreas Merentitis

Head of Applied Data Science

Dr. Andreas Merentitis is head of applied data science at OLX, a global leader in online classifieds and a division of Naspers (Africa's largest listed company). Before joining OLX, he was a senior data scientist at Zalando. Andreas has more than 30 publications in the thematic areas of machine learning and was awarded an IEEE Certificate of Appreciation. He is a prize winner with a master ranking in Kaggle.

Andreas Merentitis is speaker of the following session:

Dirk Nachbar
Dirk Nachbar

Data Scientist: Solutions Specialist

Dirk Nachbar is speaker of the following session:

Alessandro Negro, PhD
Alessandro Negro, PhD

Chief Scientist

Dr. Negro is the main author of the first recommendation engine ever built on the graph database Neo4j and is the author of the upcoming Manning book: Graph-Powered Machine Learning. He specialises in recommendation engines, graph-aided search, and NLP and has recently built an application using Neo4j and Elasticsearch aimed at personalising search results, utilizing several machine learning algorithms, natural language processing and ontology hierarchy.

Alessandro Negro, PhD is speaker of the following session:

Antal Nusselder
Antal Nusselder

Data Scientist

Antal Nusselder is a data scientist with a background in social psychology. He has 10+ years of experience in predictive analytics, machine learning, analytics propaganda and keeping his work fun at a Dutch insurance company of about 300 employees.

Bohdan Pavlyshenko
Bohdan Pavlyshenko

Data Scientist

Bohdan combines academic theories and practical approaches in the data science area. He is a Data Scientist at SoftServe company and an associate professor (PhD) of Electronics and Computer Technologies Faculty at Lviv National University (Ukraine) and has more than 50 scientific publications. His current scientific interest lies in the area of quantitative linguistics, machine learning, predictive analytics, computer vision, social network mining, business intelligence, time series analytics, numeric modelling, risk assessment, reliability theory, financial modelling. He has practical experience in retail and supply chain analytics, customer’s behavior analytics, fraud detection. In predictive analytics models, he combines machine learning and Bayesian inference that is an effective approach for forecasting and risk assessment in the business processes with non-Gaussian statistics. He works on the state-of-the-art predictive analytics solutions, taking part in Kaggle competitions where he has a Master degree and 3 gold medals for top positions in leaderboards. As a teammate, he won one Kaggle competition (“Grupo Bimbo Inventory Demand”) among nearly two thousand teams where he and his team proposed the best solution for sales forecasting in the chain of nearly 800 thousand stores.

Bohdan Pavlyshenko is speaker of the following session:

David Stephenson, PhD
David Stephenson, PhD

Author and Founder

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 PhD 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.

David Stephenson, PhD is speaker of the following sessions:

Mike Tamir
Mike Tamir

Head of Data Science, Advanced Technologies Group

Mike serves as Head of Data Science at Uber ATG, UC Berkeley Data Science faculty, and head of Skymind Labs the Machine Learning research lab affiliated with DeepLearning4J.  He has led teams of Data Scientists in the bay area as Chief Data Scientist for InterTrust, Director of Data Sciences for MetaScale/Sears, and CSO for Galvanize where he founded the galvanizeU-UNH accredited Masters of Science in Data Science degree and oversaw the company's transformation from co-working space to Data Science organization.  Mike began his career in academia serving as a mathematics teaching fellow for Columbia University before teaching at the University of Pittsburgh. His early research focused on developing the epsilon-anchor methodology for resolving both an inconsistency he highlighted in the dynamics of Einstein’s general relativity theory and the convergence of “large N” Monte Carlo simulations in Statistical Mechanics’ universality models of criticality phenomena.

Mike Tamir is speaker of the following session:

Saúl Vargas Sandoval, PhD
Saúl Vargas Sandoval, PhD

Senior Data Scientist

Dr Saúl Vargas Sandoval is a Senior Data Scientist in ASOS, the U.K.’s largest online-only fashion retailer. His current work focuses on designing and adapting recommendation algorithms to help customers discover clothes. Saúl has a PhD from the Autonomous University of Madrid (Spain) on the topic of novelty and diversity in recommender systems, and has previously applied his skills in both academia (University of Glasgow) and industry (Mendeley).

Saúl Vargas Sandoval, PhD is speaker of the following session:

Phil Winters
Phil Winters

Author and Thought Leader

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.

Hector Yee
Hector Yee

Team Lead

Hector Leads a team at Google AI: Healthcare (formerly a part of Google Brain) researching the applications of AI on Medical Waveforms. His other Google projects include image search ranking, perception for the self-driving car, video content analysis and Youtube’s Emmy award winning personalized video recommendation system.

Hector Yee is speaker of the following session:

David Zdravkovic, PhD
David Zdravkovic, PhD

Head of Analytics

David Zdravkovic PhD is the Head of Analytics for OC&C Strategy Consultants and is on the Advisory Board at Imperial College for Business Analytics. Follwoing his PhD and a post-doc in computational physics at Imperial College, he has spent over 16 years in strategy consulting and the Big Data arena. He advises clients across industries on both analytics strategy as well as how to apply advanced analytics for maximum commercial benefit.