Review – Speakers 2019
Deep Learning World Munich 2019
May 6-7, 2019 – Holiday Inn Munich – City Centre
Sr. Principal Engineer
David Austin has worked at Intel for 19 years in silicon manufacturing and the Internet of Things Domain. Currently he’s a Senior Principal Engineer focused on AI solution development in Intel’s Internet of Things Group. David develops deep learning and traditional computer vision based solutions in the Industrial market segment working closely with partners around the globe.
David Austin is speaker of the following session:
Dr. Mathias Berglund
Co-founder and deep learning researcher. With consultancy background at BCG and McKinsey, Mr Berglund combines years of industrial and business process analysis experience with a cutting-edge understanding of modern deep learning. He holds a MSc.Econ from LSE, UK and a PhD in deep learning from Aalto University, Finland.
Dr. Mathias Berglund is speaker of the following session:
Sebastian works as a data scientist at inovex. While working on data-driven solutions he developed a special interest in the progress of deep learning and NLP. He is always wondering how we can make them more data efficient and interpretable to apply them to more real-world scenarios.
Sebastian Blank is speaker of the following session:
Founder and Head of Data Science
Alex is the Founder of Sebenz.ai, a platform that creates jobs for people in Africa who earn money on their phones while labeling training data for machine learning models. He is also the founder of NumberBoost, a startup based in Cape Town that builds custom A.I. solutions focused on real-time computer vision using deep learning, edge computing and privacy-preserving federated machine learning. NumberBoost has won startup competitions with MultiChoice, Mercedes-Benz, Lloyd's Register in London and NTT Data Japan. He organizes the Cape Town Machine Learning and Deep Learning Meetup groups and chaired the organizing committee for the 2018 Deep Learning IndabaX conference in Cape Town.
Alex Conway is speaker of the following session:
Sven F. Crone is an Assistant Professor in Management Science at Lancaster University, UK, where his research on forecasting with artificial intelligence has resulted in 40+ peer reviewed articles (including EJOR, JORS, IJF) and received international awards. As the Deputy Director of the Lancaster Centre for Forecasting, with 15 members of staff & PhD students one of the largest units dedicated to business forecasting, Crone has more than 10 years of consultancy experience in corporate projects, including supply chain forecasting (e.g. Beiersdorf, Sanofi-Aventis, Bayer, Celanese, Hapag-Lloyd), retail forecasting (e.g. Tesco, Morrisons, Sainsbury, Wilkinsons), and utilities demand and price forecasting (e.g. DONG, Codelco). Crone regularly provides corporate training courses for the Forecasting Centre, IBF and IEEE worldwide as well as custom-made in-house courses. He has been a regular speaker at 50+ academic and practitioner conferences, including different keynote lectures.
Prof. Dr. Sven Crone is speaker of the following sessions:
Dr. Sébastien Foucaud
Vice-President Data Science
Dr. Sébastien Foucaud is the Vice-President Data Science at XING, the leading professional social network in the Germanophone market.
A former Professor in Astrophysics and a Data Scientist himself, Sébastien has headed several Data Science and Engineering teams in different organisations, focusing on creating a measurable business impact leveraging data related technology, machine learning and deep learning.
Deeply convinced that data is a strategic business asset, he aims at democratising data across the company by advocating a profound cultural change. His experience led him to transform organisations beyond a centralised data function to a decentralised one, where data becomes part of everyone's responsibility. Such changes required him to focus as well on topics such as data governance, monitoring, data processes, data lifecycle and data sourcing.
Dr. Sébastien Foucaud is speaker of the following session:
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.
Grzegorz Gawron is speaker of the following session:
Information about Muzahid Hussain's session will follow soon.
Philipp is the founder and MD of dida, a Berlin-based software company specialising in the field of machine vision and natural language processing. He holds a master in statistics from TU Berlin.
Philipp Jackmuth is speaker of the following sessions:
Founder & CEO
Tilak Kasturi is an engineer, innovator, and entrepreneur with more than 20 years of executive experience in enterprise software, big data, and applied artificial intelligence. He has driven scalable product platform startups across various verticles, including healthcare, media, entertainment, and now industrial repair and maintenance with Predii Inc. He holds a B.S. in Electrical Engineering from National Institute of Technology, (India), an M.S. in Computer Science from the Florida Institute of Technology, and an M.B.A. from the University of Central Florida.
Tilak Kasturi is speaker of the following session:
Dr. Johannes Kröckel
Head of Data Science & AI
Dr. Johannes Kröckel is Head of Data Science & AI at Schaeffler. He holds a PhD in Information Systems from the University of Erlangen-Nuremberg. After finishing his doctorate on applied computer vision for customer behavior analysis at the point of sale in 2013 Dr. Kröckel worked as a Technology Consultant and Data Scientist at Lufthansa Industry Solutions before he joined the automotive supplier in 2016.
Dr. Johannes Kröckel is speaker of the following session:
Dr. Natasha Latysheva
Machine Learning Research Engineer
Dr Natasha Latysheva is a computational linguist in the NLP engineering group at Welocalize, a leading language services provider. Her work focuses on machine translation and natural language processing. She previously worked as a data scientist in the video gaming industry, and before that on a PhD in computational biology at Cambridge.
Dr. Natasha Latysheva is speaker of the following session:
Senior Data Scientist
Karry Lu is a senior data scientist at WeWork with degrees in economics and statistics, and interests in recommendation systems, NLP, and Bayesian inference. In previous lives, he has led machine learning at a (successfully exited!) foodtech startup, and fought crime for the feds with the power of linear regression. Even more previous lives include relapsed statistician, community organizer and failed novelist.
Karry Lu is speaker of the following session:
Gloria Macia is a data scientist at Roche AG, where she works at the Diagnostics Data Science Lab bringing data-driven solutions to the market. Prior to joining the company, she was part of the Quality and Clinical Affairs Management team at Sonova AG. Her interests include AI, translational science, medical device development and healthcare regulation. Gloria came to Switzerland in 2015 for a research stay at the Institute of Bioengineering from EPFL and later decided to pursue a MSc in Biomedical Engineering - Bioelectronics at ETH Zurich. Her computer science skills have been awarded several prizes and scholarships from renowned companies such as Intel, Toptal or Palantir.
Gloria Macia is speaker of the following sessions:
Development Manager at Berggren Oy, responsible for business process automation and system integrations. Jukka worked 10+ years at Nokia and as Berggren's Head of IT he led the company into the vanguard of digital IPR houses. Jukka loves to develop and learn and currently studies for a Master's degree in Strategic Leadership. He lives up north, in Oulu, Finland.
Jukka Nevalainen is speaker of the following session:
Dr. Kaustubh Pathak
Advanced Data Analyst
Dr. Kaustubh Pathak is an Advanced Data Analyst at Schaeffler since 2017 and specializes in the fields of Robotics, Computer Vision, and Predictive Maintenance. He obtained his PhD in 2006 from the Univ. of Delaware, USA, and worked as a tenured Assistant Professor at Jacobs University Bremen before joining Schaeffler.
Dr. Kaustubh Pathak is speaker of the following session:
Data Science Engineer
Experienced engineer with 4+ years of experience as analyst in FMCG industry, including SC Adidas Ukraine, Danone, P&G, Henkel, SMART business. Certified within R, Python, Data Science and Data Management.
Andrii Shchur is speaker of the following session:
Dr. Christian Spindler
CEO / Data Scientist
Christian Spindler leads Data Analytics for IoT in PwC Switzerland. He is a technology and business expert for Deep Learning design and application, e.g. for computer vision, voice and text understanding. Christian Spindler leads a national expert group on data sharing within the Swiss Data and Service Alliance, as well as the Swiss chapter of the Industrial Data Space Association.
Dr. Christian Spindler is speaker of the following session:
Founder & Managing Director
With his Strategy Consultancy Datentreiber Martin Szugat supports companies during the digital transformation to data-driven business models and processes. His method of data strategy design empowers companies to develop individual and successful data strategies and allows them to take tangible advantage of their data. Prior to Datentreiber Martin Szugat was Managing Director of SnipClip, an agency for social media marketing & analytics solutions. The bioinformatics graduate has researched machine learning and data mining and worked as a freelance specialist author and IT consultant. Since 2014, he additionally is in charge as program director for the Predictive Analytics World conferences in Germany
Information about Martin Szugat's session will follow soon.
Dr. Marcel Tilly
Marcel Tilly is Professor of Cloud Computing at the Rosenheim University of Applied Sciences. After almost 13 years at Microsoft, he continues to work on topics related to IoT, Big Data, Deep Learning and AI; in detail, he deals with speech and image recognition and their application in real-world scenarios. At the university he can now deepen his experience in research and teaching and get to the bottom of it. If there is still time left, he speaks at conferences, writes articles or programs something.
Information about Dr. Marcel Tilly's session will follow soon.
Ward van Laer
Machine Learning Engineer
Ward is the leading machine learning engineer at IxorThink, the AI practice of the Belgian software company Ixor. Fascinated by the mystery and power of the human mind, he is inventive in explaining how AI models work and how to interpret their results. At IxorThink, Ward demonstrated a lot of added value with operational AI driven solutions in the content marketing industry and healthcare sector.
Ward van Laer is speaker of the following session: