STATE OF THE ART
Machine Learning Conference

He is a research scientist at Facebook AI Research since May 2014. Previously he has been a member of Google Brain team, where he developed and implemented efficient algorithms for computing distributed representations of words (word2vec project). He has obtained PhD from Brno University of Technology (Czech Republic) for his work on recurrent neural network based language models (RNNLM). His long term research goal is to develop intelligent machines capable of learning and communication with people using natural language.

Interests:
Machine learning, and natural language processing.

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Emeli Dral leads the data science team at Mechanica AI. She is responsible for the development of core products and technologies for the application of artificial intelligence in industrial processes.
Prior to co-founding Mechanica AI, she served as the Chief Data Scientist at Yandex Data Factory. She led a team of accomplished data scientists and oversaw the development of machine learning solutions for various industries - from banking to manufacturing. Emeli is a lecturer at the Yandex School of Data Analysis and Harbour.Space University, where she teaches courses on machine learning and data analysis tools. In addition, she is a co-author of the "Machine Learning & Data Analysis" and "Big Data for Data Engineers" curriculums at Coursera.

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Janusz Marecki is currently a lead scientist at Google DeepMind and a co-founder of AI Machina. Prior to joining DeepMind, Janusz was a senior research scientist in the cognitive computing division of IBM T.J. Watson Research, a research assistant at the European Laboratory for Nuclear Research (CERN), a research associate at the Ukrainian Academy of Sciences and a full professor at the Academy of Computer Sciences in Poland. An author of over 100 refereed publications and 7 patents and a recipient of a commendation from the Los Angeles Airport Police, a commendation from the Department of Homeland Security and an Invention Award from an IBM CEO, Janusz's current research interests are in reinforcement learning, deep neural networks, and artificial brain computing.

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Mikhail Burtsev is head of Neural Networks and Deep Learning Laboratory at Moscow Institute of Physics and Technology. In 2005, he received the Ph.D. degree from Keldysh Institute of Applied Mathematics of Russian Academy of Sciences. From 2011 to 2016 he was head of the lab of Department of Neuroscience at Kurchatov NBIC Centre. Now he is one of the organizers of NIPS 2017 Conversational Intelligence Challenge, and a head of iPavlov Project.

His research interests are in fields of Natural Language Processing, Machine Learning, Artificial Intelligence, and Complex Systems.

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He is currently a data scientist at Uber where he is using deep learning and natural language processing to provide magical support experiences to customers and driver partners. He has a background in engineering and a graduate degree in data science, which enables him to solve some hard problems using data and machine learning. His interests currently include neural networks, document semantics, and language understanding.

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Born in 1988, a graduate in Mathematical Statistics at the Wrocław University of Technology. Her master's thesis entitled "Stable feature selection methods" won the second place in the XLVI competition of the Polish Mathematical Society for the Best Student Work in Probability Theory and Statistics Applications. Professionally, over almost 8 years, she has been discovering the potential of data in various business domains - from medical data, through retail, HR, finance, aviation, real estate, ... She deeply believes in the power of data in every area of life.

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Valentin has hand-on experience working with Information Retrieval, Natural Language Processing and even Self-Driving tasks. He worked as an engineer in Sputnik & Yandex, as an applied research scientist in iPavlov & VK. Now he is employed as a research scientist at Huawei Noah's Ark Lab.

Recently, Valentin defended a PhD on robustness in NLP tasks. His research interests are robustness to noise, dialog systems, summarisation. Valentin co-organized NeurIPS ConvAI challenges for Conversational AI in 2017 & 2018.

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Łukasz Kidziński is a researcher in the Mobilize Center at Stanford, working on the intersection of computer science, statistics, and biomechanics. He is a co-founder of Saliency.ai -- a startup focusing on improving efficacy of clinical trials using artificial intelligence. Previously, Łukasz was a researcher in the CHILI group, Computer-Human Interaction in Learning and Instruction, at the EPFL. He obtained his Ph.D. at Université Libre de Bruxelles in mathematical statistics, working on time series analysis and functional data. He obtained two master degrees in mathematics and computer science, from the University of Warsaw. His research interests include time series analysis, large scale statistics, alternative data, and applications of data science in biological and medical sciences.

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For the 10 years he is dealing with advanced analytics and production deployed machine learning systems. He started in Deloitte where he did complex risk analysis systems in credit risk and stress tests. Then he did 2 years in New York Unicorn Zocdoc where he was analytics tech lead and infrastructure senior developer. However he missed home and came back and built 50 person machine learning advisory team in PwC CEE, It was first such case in Poland. At the end of 2016 he found his entrepreneurship vibe and founded FinAi.com and became CTO. In FinAi he deals with simplifying retail finance – using Machine learning methods – in a way where they are designed to help rather than obstruct. They do things like fraud detection and face recognition and credit risk. And it's interesting, but very hard to do right.

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Bartek Skorulski is Senior Data Scientist in Research Team in Alpha (Telefonica), a team that designs and builds machine learning solutions for improving people mental health. He has extensive experience in both industry and academic word. On one hand he was working in Messaging Team in Schibsted (company knows for portals like Fotocasa, Leboncoin, Infojobs, Segundamano) helping building experimentation driven products like, for example, smart replies in chats. In SCRM (digital hub of Lidl) he was setting up data driven environment, building recommender systems, forecasting demand and AB Test tool. In King (Activision/Blizzard) using data he was helping build best games. On the other hand, he was also working as Associate Professor doing research in Dynamical Systems and teaching graduate and undergraduate courses. Last few years he has been also teaching courses on machine learning, deep learning and data management.

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Anna is a cognitive scientist with a background in psychology and data science, and a great interest in using new technologies in diagnosis, therapy, and education. She loves working in multidisciplinary projects and developing technology for social good. She combines her academic work at several universities with business.

For six years Anna worked as head of research at Harimata, a startup company that combines psychology and technology to support assessment and treatment of disorders in children and adults. During her time in Harimata, she developed AI-based solutions supporting early detection of autism spectrum disorder in children as well as applications helping adults who suffer from mood disorders.

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Tomasz Jadczyk is a co-founder and CTO of Techmo – a Voice Technologies company, where he is responsible for management and development of speech recognition, speech synthesis, voice biometrics, and voice analytics systems.
During his career, he moved from 'I implement this myself' through the implementation of State-of-the-Art research systems to the production environments, where ASR handles more than 60 000 calls every day. His research interests focus on moving voice processing systems from laboratory to real-life usage.

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Przemek's professional career marks over 15 years of extracting business value out of data. During that time he had his own Data Science consulting company, created a Big Data startup (failed one, bummer!), worked on exploring natural resources and built teams for companies such as Base CRM (currently Zendesk Sell) and Toptal, in the meantime he earning a PhD in NLP/ML field. Since 2015 he works for LogSense, building a data platform that can process millions of events for seconds, finding anomalies in the data. He's a big fan of cycling, you can frequently spot him around Kraków.

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Anaig started her career at Microsoft in 2017, working on children's dyslexia risk evaluation using Machine Learning. Now AI specialist in Geneva, she's supporting the top Swiss companies to develop their AI strategy and build their Data Science projects with Microsoft cloud technologies. She is still very engaged in the AI for social good actions, and is currently working on a smart assistant for people under autism.

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He started his adventure with the IT industry in 1998 as a network administrator, then he worked as a web application programmer. Based on the experience gained, he developed my competences by running IT projects. From 2005, he was responsible for the technological development of Empathy Internet Software House as CTO, and then from November 2012 in the Management Board of the Unity Group and as the Director of e-commerce development for the development of the proprietary Unity.Commerce platform and other proprietary products. Currently, he is the CTO at Edward.ai, implementing projects in the field of artificial intelligence in business.

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Tomasz Trzciński is a Chief Scientist and co-owner at Tooploox and an Assistant Professor at Warsaw University of Technology, where he leads a team of students behind Comixify.ai. He obtained his Ph.D. in Computer Vision at École Polytechnique Fédérale de Lausanne in 2014. He has (co)-authored several papers in top-tier computer science conferences and high impact factor journals. His professional appointments include work with Google in 2013, Qualcomm Corporate R&D in 2012 and Telefónica R&D in 2010. In 2017, he was appointed a Visiting Scholar at Stanford University. In 2016, he was named New Europe 100 Innovator as one of 100 outstanding challengers who are leading world-class innovation from Central and Eastern Europe.

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Machine Learning Engineer at Sigmoidal with over 2,5 years of experience in Machine Learning, co-organizer of the PL in ML conference. Her main field of interest is Natural Language Processing. At her day-to-day work, she designs and develops AI systems for business clients from all over the world, in fields such as e-commerce, finance, and compliance.

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Matthew is an entrepreneur, software engineer and machine learning practitioner. He's been working as a machine learning engineer since graduation from AGH University of Science and Technology. Before he moved to Netguru, he worked at Siemens Corporate Research in Princeton and machine learning software house Craftinity, where he led development of various machine learning projects including Deep Learning based solutions for image recognition and Natural Language Processing. Now he's responsible for building and managing the whole Machine Learning department at Netguru.

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Lukas connects the dots to solve problems and simplify processes. He combines the experience in building Machine Learning products on scale with deep knowledge about the number of domains. He enjoys diving into product management, audio engineering and electronics engineering, as well as teaching others how to build answers to the questions and problems they bring in. He is a huge fan of Quantum Computing, XAI and generative art. Previously at two FAANG companies, currently at Lonsley. INTJ.

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Ermlab Software CEO and scientist in the field of machine learning with 12 years of experience. I believe that artificial intelligence is a way to create superhuman people and will accelerate the evolution of our species. I co-create startups using the latest NLP achievements, currently working on polish grammarly and book recommendation engine. I write my thoughts on the blog.

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AI & Data Science enthusiast with a passion for finding interesting stories and AI applications in the world driven by data. Gained professional experience bridging IT and business with Accenture, P&G, an AI startup, and others. Currently continuing this path at Lingaro as Value Proposition Consultant focusing on the business benefits of data solutions. Embraces the philosophy of "pay it forward."

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Bartosz is a co-founder and CEO of Techmo - a technology company providing solutions in the field of speech recognition and synthesis. He studied Electronics and Telecommunication at AGH. Then he did PhD in Computer Science at the University of York. In 2017 he received a postdoctoral degree. Over 100 scientific papers, two patents granted by the USPTO and one by the EPO. Author of the book "Speech Processing".His work interests include automatic speech recognition, natural language processing, speaker recognition, and spatial sound simulation. He participated in several national and European research projects. His research and development activities are currently focused on the development of products and technologies within Techmo, mainly in the areas of customer care and telemedicine.

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Koki Ibukuro is a creative developer/artist who born in Tokyo and based in Berlin since 2018. He obtained a degree in electronic music and a master's degree in product design at Tokyo University of Arts, and now produces expressions that are not only visual media but from sounds, smells and touch. In addition to artworks, He produces many IoT products and permanent digital signage that is installed in Tokyo. His awards include Cannes Lions International Festival of Creativity, SXSW Innovative Technologies and more. He explores the possibilities of the use of ML in the CG pipeline process and creates Simulacra-objects using GAN.

Emilie Zawadzki is an IT Developer, musician, and digital artist. She currently works at IRCAM as head of web development and teaches Web Audio / Web Midi to master students. She grew up with two passions : computer science and music. This led her up to a master of Multimedia Design Production at Gobelins School (Paris). She looks for lastest technologies trends which she likes to try out in artistic activities. In parallel, she is part of several music projects between electronic and improvised music via records and gigs.

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Philippe Esling received a B.Sc in mathematics and computer science in 2007, a M.Sc in acoustics and signal processing in 2009 and a PhD on data mining and machine learning in 2012. He was a post-doctoral fellow in the Department of Genetics and Evolution at the University of Geneva in 2012. He is now an associate professor with tenure at Ircam laboratory and Sorbonne Université since 2013. In this short time span, he authored and co-authored over 20 peer-reviewed journal papers in prestigious journals. He received a young researcher award for his work in audio querying in 2011, a PhD award for his work in multiobjective time series data mining. In applied research, he developed and released the first computer-aided orchestration software called Orchids, commercialized at fall 2014, which already has a worldwide community of thousands users and led to musical pieces from renowned composers played at international venues. He is the lead investigator of machine learning applied to music generation and orchestration, and directs the recently created Artificial Creative Intelligence and Data Science (ACIDS) team at IRCAM.