The machine learning conference for engineering teams

Andreas Müller is a Principal Research SDE at Microsoft, where he works on the interface of the Data Science ecosystem and cloud infrastructure.

He previously held positions as Associate Research Scientist at the Columbia Data Science Institute and as a Research Engineer at the NYU Center for Data Science.

He is one of the core developers of the scikit-learn machine learning library, a member of the scikit-learn technical committee, and the author of the book "Introduction to machine learning with Python".

His work focuses on practical aspects of machine learning and the development of user-centric machine learning software.

Thomas Wolf is co-founder and Chief Science Officer of HuggingFace. His team is on a mission to catalyze and democratize NLP research. Prior to HuggingFace, Thomas gained a Ph.D. in physics, and later a law degree. He worked as a physics researcher and a European Patent Attorney.

Beril Sirmacek is a Dutch AI researcher. She received her PhD degree in Electrical and Electronics Engineering in 2009. Later she has worked with German Aerospace Center and pursued a habilitation degree with University of Osnabrueck.

She is an assistant professor at Jonkoping AI Lab and also leading her company create4D. Beril is passionate to use computer vision and AI algorithms for creating useful healthcare and earth care solutions.

Beril has taught a MSc course at the University of Augsburg in 2010, only on OpenCV. As a computer vision scientist and developer, she has been using it regularly for many years.

Laurence Moroney leads AI Advocacy at Google, working as part of the Google Research into Machine Intelligence (RMI) team. He's the author of more programming books than he can count, including 'AI and Machine Learning for Coders' with OReilly, to be published in October 2020. He's also the instructor and creator of the TensorFlow In Practice, and TensorFlow Data and Deployment specializations on Coursera. He also runs the YouTube channel for tensorflow at Youtube.com/tensorflow, and the TensorFlow certificate program for developers at tensorflow.org/certificate. When not working on AI, he's a published Sci-Fi author, comic book creator and IMDB-listed screenwriter.

Mikhail Burtsev is a head of Neural Networks and Deep Learning Laboratory at Moscow Institute of Physics and Technology. He is also a founder and leader of open-source conversational AI framework DeepPavlov. Mikhail had proposed and co-organize a series of academic Conversational AI Challenges (including NIPS 2017, NeurIPS 2018, EMNLP 2020).

His research interests are in the fields of Natural Language Processing, Machine Learning, Artificial Intelligence and Complex Systems. Mikhail Burtsev has published more than 20 technical papers including – Nature, Artificial Life, Lecture Notes in Computer Science series, and other peer-reviewed venues.

Jason is a Senior Developer Advocate for TensorFlow.js at Google.

Jason combines his knowledge of the technical and creative worlds to solve complex, strategic / technical challenges for Google's largest customers and internal teams. Developing innovative world firsts utilizing the latest technologies and hardware is a key component of his role to rapidly prototype new ideas and consult on project solutions globally.

With a background in Computer Science at the University of Bristol, England, where he specialized in reality mining and invisible computing, Jason has been a "hybrid engineer" for over 15 years. Combining his passion for several areas including both front and back end web programming, but also design and user experience, he has worked in many sizes of companies from startups (including founding his own) to Google.

Marco is a Data Scientist at the Samsung R&D Institute UK. Outside of work, he is a maintainer of pandas (data wrangling platform for Python widely adopted in the scientific computing community) and author of nbQA (code quality tool for Jupyter Notebooks). He holds an MSc in Mathematics and Foundations of Computer Science from the University of Oxford.

Haifeng is a member of Keras team at Google and a PhD candidate in DATA Lab at Texas A&M University. His research interests are AutoML and deep learning. He is the creator and project lead of AutoKeras, which aims to make deep learning more accessible with AutoML techniques.