About

Alejandro is the Chief Scientist at the Institute for Ethical AI & Machine Learning, where he leads the development of industry standards on machine learning explainability, adversarial robustness and differential privacy. Alejandro is also the Director of Machine Learning Engineering at Seldon Technologies, where he leads large scale projects implementing open source and enterprise infrastructure for Machine Learning Orchestration and Explainability. With over 10 years of software development experience, Alejandro has held technical leadership positions across hyper-growth scale-ups and has delivered multi-national projects with top tier investment banks, magic circle law-firms and global insurance companies. He has a strong track record building cross-functional departments of software engineers from scratch, and leading the delivery of large-scale machine learning systems across the financial, insurance, legal, transport, manufacturing and construction sectors (in Europe, US and Latin America).

About

A computer scientist passionate about building predictive systems and evaluating their impact. I enjoy dealing with large, messy data and have contributed to designing novel recommender systems and modeling their effect on information diffusion in social networks. As a Ph.D. student at Cornell, my research involves a combination of online experiments and large-scale data mining to deliver insights about people's preferences on items, and how recommender systems influence them. If you are interested, more details about my research are here: http://www.cs.cornell.edu/~asharma/Brief industry stints have helped me apply my research ideas to a larger scale. I developed a novel recommendation model for community recommendation at LinkedIn, prototyped collaborative models of augmenting restaurant data at Google and more recently, worked on estimating the impact of recommender systems in driving volume on e-commerce websites at Microsoft Research.

About

Researcher and engineer with 10+ years experience in the field of telecommunications. I have a strong theoretical background in optimization, operations research and machine learning, holding a PhD for applying these in various network optimization & analysis.

Currently working for Ericsson as telecommunications domain expert & data scientist / analyst in the fields of VoLTE Customer Experience & Network Monitoring, being the system engineer/architect of a team developing a Machine Learning based anomaly detection application. https://www.ericsson.com/en/digital-services/offerings/network-automation/expert-analytics

I was involved in various research projects, with fixed and mobile access networks, including network planning, design, dimensioning and techno-economics, and Work Package leader of European research projects FP7 COMBO.Long-term successful cooperation with Magyar Telekom, contributing as expert to R&D projects on core and transport network design. 

About

Casey is a Professor of Biochemistry and Molecular Genetics at the University of Colorado School of Medicine. His research lab develops deep learning methods that integrate distinct large-scale datasets to extract the rich and intrinsic information embedded in such integrated data. This approach reveals underlying principles of an organism’s genetics, its environment, and its response to that environment. He is also the Director of the Childhood Cancer Data Lab (CCDL), powered by Alex's Lemonade Stand Foundation. The goal of the CCDL is to empower childhood cancer researchers poised for the next big discovery with the tools, data, and knowledge to reach it.

About

I am a principal researcher at Microsoft Research Cambridge. Before joining Microsoft Research, I was at Disney Research Pittsburgh located at Carnegie Mellon University.  I have received my PhD from the Department of Robotics, Perception and Learning (RPL/ former CVAP),  KTH Royal Institute of Technology.   My general interests are Machine Learning and Computer Vision. I am currently working on Representation Learning and Approximate Inference.

About

Corey Zumar is a software engineer at Databricks, where he is working on machine learning infrastructure and APIs for managing the machine learning lifecycle with MLflow. He holds a master’s degree in computer science from UC Berkeley, where he was one of the lead developers of Clipper - an open-source project and research effort focused on high-performance model serving.

About

Csaba Szepesvari is a Canada CIFAR AI Chair, the team-lead for the "Foundations" team at DeepMind and a Professor of Computing Science at the University of Alberta. He earned his PhD in 1999 from Jozsef Attila University, in Szeged, Hungary. He has authored three books and about 200 peer-reviewed journal and conference papers. He serves as the action editor of the Journal of Machine Learning Research and Machine Learning, as well as on various program committees. Dr. Szepesvari's interest is artificial intelligence (AI) and, in particular, principled approaches to AI that use machine learning. He is the co-inventor of UCT, a widely successful Monte-Carlo tree search algorithm. UCT ignited much work in AI, such as DeepMind's AlphaGo which defeated the top Go professional Lee Sedol in a landmark game. This work on UCT won the 2016 test-of-time award at ECML/PKDD.

About

David leads Open Source Machine Learning Strategy at Azure. This means he spends most of my time helping humans to convince machines to be smarter. He is only moderately successful at this.

Previously, David led product management for Kubernetes on behalf of Google, launched Google Kubernetes Engine, and co-founded the Kubeflow project. David has also worked at Microsoft, Amazon and Chef and co-founded three startups.

When not spending too much time in service of electrons, David can be found on a mountain (on skis), traveling the world (via restaurants) or participating in kid activities, of which there are a lot more than he remembers than when he was that age.

About

Dave Lacey is Chief Software Architect at Graphcore overseeing the direction and design of software developed to assist engineers create the best machine learning solutions on Graphcore IPUs.  He has a PhD from the University of Oxford in Computer Science and has over 19 years of experience in research and development of programming tools and applications in many areas including machine learning, HPC and embedded systems. Prior to Graphcore, he worked at the University of Oxford, the University of Warwick, Clearspeed Technology and XMOS.

About

Dávid is leading teams of machine learning engineers who power the perception systems of automated driving and ADAS products of Continental. Graduated in computer science on the Budapest University of Technology and Economics, enriched his studies on the Karlsruhe Institute of Technology and later on ETH Zurich. Dávid started his professional career at IBM Research in Switzerland working on machine learning research and industry applications. He contributed to deep learning methods in several projects like server outage prediction, medical imaging, sequence prediction of chemical reactions and natural language understanding. He co-authored award-winning papers, finished with high results on a MICCAI challenge and had one of his projects selected as a Franz Edelmann Award finalist in 2020. Dávid decided to relocate to Hungary in 2018 to help building up Continental’s Deep Learning Competence Center in Budapest and to save lives on the roads.

About

About

Farjola Peco has 15+ years of experience in software development, research in service layer technologies, Media, IoT, analytics and strategy development in the ICT Industry. She read for a Master’s degree in Computer Science at Uppsala University after obtaining a B.Sc with Honours in Information Technology and Communications Systems Engineering from the University of Malta. Farjola has co-authored 30+ patents. In her current role as a Head of Strategy for Business Area Digital Services, she is accountable for driving Ericsson’s Digital Services products and services strategy. Farjola joined Ericsson as a researcher after having spent two and a half years in the start-up community as a software developer. She has since then held several positions within Research & Development before joining the Chief Technology Office as a Technology Strategist for media- focused products, technology, and services across all of Ericsson business areas. Before joining the Business Area, she was accountable for driving Ericsson’s 3-5 years technology strategy for AI and Automation.

About

István Csabai professor of physics, corresponding member of the Hungarian Academy of Sciences. He is doing research in several multidisciplinary fields where the new technologies make it possible to collect and analyze large amounts of data. His research focus is to understand complex systems, be it the living cell, the manmade Internet, or the large scale structure of the Universe. With his research group at Eötvös University, Budapest they combine the standard domain knowledge of the traditional disciplines with methods of modern statistical analysis, data mining, machine learning and efficient computational techniques. 

About

Red Hat Women in Open Source Academic Award Winner 2017, Google Summer of Code alumna and currently a Machine Learning Engineer at Twitter Inc., Jigyasa Grover is an ardent open source enthusiast along-with being a budding researcher having worked at San Diego Supercomputer Center, National Research Council of Canada and Institute of Research \u0026 Development France. She has also briefly worked on anomaly detection framework in the ads system at Facebook. A feminist by heart, she was involved as Director of Women Who Code and Lead of Google Women Techmakers for a handful of years to help bridge gender gap in technology. She has delivered keynotes and talks at Open Source 101, Red Hat Summit, University of California San Diego Guest Lecture Series, FOSSASIA OpenTech Summit Singapore, Society of Women Engineers Conference, WWC Regional Leadership Summit India, Grace Hopper Celebration of Women in Computing India, IEEE Women in Engineering International Leadership Summit \u0026 Women Techmakers Meet to name a few. In her quest to build a powerful bunch of girls and boys alike believing in “we rise by lifting others” she mentors aspiring developers in the global programs like Google Summer of Code, Google Code- In, ‘Learn IT, Girl !’

About

Kornel is a Solutions Architect and Instructor at Datapao, a cutting edge Big Data and Cloud Service company. He is a Microsoft certified Data Engineer and Databricks certified Apache Spark developer. He focuses on Azure Data Services and has a special edge in working with Machine Learning projects on Databricks. Kornel has a proven track record in Python Programming, Machine Learning, and Courseware Development. He likes to combine technical knowledge with business insight to create value in a data rich world.

About

Lester Solbakken is a Principle Software Engineer at Verizon Media (previously Yahoo) on the vespa.ai platform, the open big data serving engine. His primary focus areas are machine learning engineering with emphasis on serving and search system ranking. Lester previously pursued a PhD within Artificial Intelligence and Machine Learning with neural networks, exploratory data analysis and self-organizing systems as main research topics.

About

Levente is a long time enthusiast of anything cognitive. Originally a programmer, but finished his masters as a Buddhist Theologian, with cognitive science specialization. He started to do AI related work in the early 2000s in knowledge representation, then switched over to become the lead of research for a quantitative finance research group. He later founded an award winning startup (Best Chatbot / AI solution Central European Startup Award, 2016) where he acted as CTO and lead researcher in NLP.

About

Lucas is a research scientist at Numenta, a research company focused on neocortical theory, where he works on bringing neocortical principals to machine intelligence. Previously, Lucas worked as a data scientist for the Brazilian anticorruption agency helping to identify and prevent corruption schemes through the use of machine learning. He also founded Derivada, a non-profit organization that focuses on promoting AI through open source projects, research and education. Lucas brings his passion for building a collaborative AI community to Numenta where he created and leads the Brains@Bay Meetup group focused on brain-inspired machine learning algorithms.

About

Mady Mantha is a Senior Technical Evangelist at Rasa. Mady studied Computer Science, Physics, and International Politics at Georgetown University. She has years of experience building ML-driven products at startups and enterprises. Mady is a space enthusiast.

About

Miklos is a senior IT professional with strong business-related skills, he has an entrepreneurial mindset combined with "the Advocate" (INFJ) personality. He started to learn software development when he was 15, therefore he studied Information Technology and Mathematics at University of Szeged. During the 3. semester he founded his first company with other fellow students where they were working during day and night as a garage firm. Later he moved to Germany to work for Audi as a software developer then switched to Volkswagen but remained as an external colleague. Then he spent 1 year in Hungary worked for the German Audi department as an external senior software developer, but he needed new challenges, therefore he accepted a position in Beijing, China at Volkswagen Group China (VGC) as an IT Consultant. Being an expat for 3 years in the capital he managed to create a Software Quality measurement platform for the IT department which controlled the software suppliers of VGC. During this period he started to be interested in data science, machine learning and its business-related opportunities. In 2015 relocated to Hungary and founded his first startup aiwebtesting.com, and started to teach at Audi Academy as an IT Trainer. In the same year he started an MBA degree at CEU (Central European University), he successfully graduated in 2017. He works as a Data Science Trainer, he delivers Big Data and Machine Learning courses at multinational companies and soon he will launch his ML-focused podcast. 

About

Winner of the two last global Conferences on AI organized by Nokia Bell Labs, Distinguished Member of Technical Staff and recognized Leading Inventor, I’m leveraging the capabilities of AI to create cutting-edge products and market-shaping solutions. Inventor of globally deployed autonomous software and machine learning based systems, I dedicate my energy to the creation of tangible added value. Besides having a vision, my main strength resides in the ability to combine machine learning practice, domain expertise and business understanding to craft features that delivers relevant field-proven actionable insights. Self-confident when speaking in public, in driving customer workshops or while coding, enthusiast when sketching the big picture or settling the important details, concerned by ethics, I’m a partner of choice to make the AI revolution a viable reality.

Traveled extensively and/or conducted business across the 5 continents. Directly worked with and/or managed individuals from around the globe - and loved it! Strong written and verbal communication skills. Ability to explain complex things in simple words. Challenge-driven. Persuasive. Bilingual in English and French. Love exploring.

ACHIEVEMENTS:

- Winner of the « Future X Network » award at the 2019 Nokia Conference on AI.

- Winner of «The most innovative AI solution that optimizes a product we sell to customers » award at the 2018 Nokia Conference on AI.

- Conceived, positioned, demonstrated and deployed several >M$ software applications.

- Recognized as a Bell Labs' Distinguished Member of Technical Staff (DMTS) for technical excellence and sustained outstanding contributions with proven business impact.

- Author of 40+ patents in the field of broadband communication and AI. Top-10 inventor in Nokia Belgium for granted patents for all time.

- Member of the European AI Alliance.

- Member of the IEEE Machine Learning for Communications ETI.

- Speaker at major global AI conferences.

- Judge at the Nokia AI hackathon.

- Graduated with the highest honors, awarded as "Best thesis in Electrical Engineering". 

About

Dr. Paris Buttfield-Addison is co-founder of Secret Lab a game development studio based in beautiful Hobart, Australia. Secret Lab builds games and game development tools, including the multi-award-winning ABC Play School iPad games, the BAFTA- and IGF-winning Night in the Woods, the Qantas airlines Joey Playbox games, and the Yarn Spinner narrative game framework. Previously, Paris was mobile product manager for Meebo, a ground-breaking 'Web 2.0' startup which was acquired by Google. Paris particularly enjoys game design, statistics, the blockchain, machine learning, and human-centered technology research and writes technical books on mobile and game development (more than 20 so far) for O’Reilly Media. He is currently writing 'Practical AI with Swift', 'Head First Swift', and the 'Unity Game Development Cookbook'. He holds a degree in medieval history and a PhD in computing.

About

Patrick has more than 20 years of experience in leading and delivering complex change projects in digital banking and insurance in Europe, the US, and Asia. He possesses a unique combination of business understanding and the latest digital technology knowledge, including artificial intelligence, machine learning, data science, and blockchain. He shares his passion for new technologies applied to real business solutions and regularly publishes articles on Machine and Deep Learning usage in financial services. He is also the co-author of the AI Book published by Wiley.

About

Reza Bosagh Zadeh is founder and CEO at Matroid and an Adjunct Professor at Stanford. His work focuses on Machine Learning, Distributed Computing, and Discrete Applied Mathematics. He's served on the Technical Advisory Boards of Databricks, and has been working on Artificial Intelligence since 2005 when he worked in Google's AI research team. His awards include a KDD Best Paper Award and the Gene Golub Outstanding Thesis Award at Stanford.

About

Group chief data scientist, leading a data analysis and visualization team tasked with inspiring and supporting the business to work in a more data-driven way. Involved in the creation of an AI Agenda for Sweden driven by RISE, coordinator for the working group focused on industrial applications of AI in Sweden. Member of the Swedish AI Council.

Senior advisor at Apparata AB.

Previous experience within SEB: Head of Counterparty Risk Modeling. Portfolio risk manager at Investment Strategy, a part of SEB Private banking. Team head and Portfolio manager in the Index&Solutions team at SEB Investment Management Ab in Stockholm, Sweden. Risk analyst within Wealth managements' risk control group. Prior to SEB I worked with both investment analysis and programming for a hedge fund in Stockholm. PhD in mathematics, studies in economics and finance. Doctoral thesis in several complex variables. Eight years experience in university level teaching in mathematics.

Popular science speaker, I enjoy adapting the level of detail to the audience. 

About

Tim Kentley Klay is a creative and technical entrepreneur. He is the founder of HYPR, an A.I. robotics company developing mobility systems that improve as they move. Previously, he was the founder of Zoox, an autonomous mobility company acquired by Amazon. In 4 years, he built Zoox into a company valued at $3.2B, raised $800M in two rounds, hired 500 people, and filed 125 patents across software, hardware and design as he architected the development of a ground-up, vertically integrated autonomous mobility ecosystem. Tim sat on the U.S. Department of Transportation’s Advisory Committee on Automation in Transportation and was requested to testify to the Senate House Committee on autonomous mobility policy. 

Tim rebuilt a 1958 Series II SWB Land Rover from the frame up, his daily driver when in his hometown of Melbourne, Australia. At age 25, he founded XYZ Studios, followed by Crayon. Both work globally in the creative arts; together their work has been recognized with well over 100 awards, including 7 Gold Cannes Lions. Graduating from Camberwell Grammar School, Tim was Dux of his year in both Art and Design, receiving Premier’s Awards for each. He was accepted into the prestigious Swinburne University School of Design, graduating as Dux with Honors and recognition as ‘Most Innovative Designer’.

At the 2020 Advance Awards, Tim was recognized by the Prime Minister of Australia with the Advance Global Australian and the Advance Commercial Creative Awards.Tim’s motivation is to accelerate what’s possible; to lead teams pioneering frontier technologies at the intersection of art and science, for the betterment of our communities and the environment.

About

Wiebe Van Ranst was born on the 9th of November 1990 in Bornem, Belgium. In 2013 he got his master’s degree in Electronics-ICT. Both Wiebe’s bachelor’s and master’s thesis were about GPU processing which was still a very small field at the time. Starting a PhD was a logical continuation of this. Wiebe started his PhD in 2013, after finishing his master’s thesis, under professor Joost Vennekens. His main interest then mainly focused on artificial intelligence in general and GPU computing. In 2016 Wiebe briefly worked on a start-up company called obtronics, focusing on computer vision, the technology of which was one year later taken over by the company RoboVision. During this experience Wiebe’s interests shifted towards GPU processing for computer vision, and later also computer vision itself. His research was then also supervised by professor Toon Goedemé. Wiebe is currently active as a post-doctoral researcher in the EAVISE research group of KU Leuven. Currently, his research is on applying neural nets on embedded hardware.

Wiebe's talk will be about recent research on real-world adversarial samples.