CTO and Chief Data Scientist, STSM
IBM Center for Open Source Data and AI Technologies
505 Howard St
San Francisco, CA, USA
List of prepared >>Talks<<
Slides of my talks:
Recordings of my talks:
Courses I'm teaching (which you can get for free http://ibm.biz/community-coursera):
IBM Advanced Data Science Certificate on coursera
Fundamentals of Scalable Data Science
Advanced Machine Learning and Signal Processing
Scalable Machine Learning on Big Data using Apache Spark part of IBM AI Engineering Professional Certificate https://www.coursera.org/learn/machine-learning-big-data-apache-spark/
Applied AI using DeepLearning
Deep Learning (in CAS Practical Machine Learning)
Hyperledger (in BlockChain elective)
Romeo is a data scientist working for IBM and an advocate for ethical machine learning, transparency and privacy
PLEASE DON'T USE THE BIO AS SPEAKER ANNOUNCEMENT - IT IS ONLY THERE TO SHOW OFF TO GET PAPERS ACCEPTED - PLEASE USE SPEAKER ANNOUNCEMENT ABOVE
Romeo Kienzler is CTO and Chief Data Scientist of the IBM Center for Open Source Data and AI Technologies (CODAIT) in San Fransisco.
He holds an M. Sc. (ETH) in Computer Science with specialisation in Information Systems, Bioinformatics and Applied Statistics from the Swiss Federal Institute of Technology Zurich.
He works as Associate Professor for Artificial Intelligence at the Swiss University of Applied Sciences Berne and Adjunct Professor for Information Security at the Swiss University of Applied Sciences Northwestern Switzerland (FHNW). His current research focus is on cloud-scale machine learning and deep learning using open source technologies including TensorFlow, Keras, and the Apache Spark stack.
Recently he joined the Linux Foundation AI as lead for the Trusted AI technical workgroup with focus on Deep Learning Adversarial Robustness, Fairness and Explainability.
He also contributes to various open source projects. He regularly speaks at international conferences including significant publications in the area of data mining, machine learning and Blockchain technologies.
Romeo is lead instructor of the Advance Data Science specialisation on Coursera https://www.coursera.org/specializations/advanced-data-science-ibm with courses on Scalable Data Science, Advanced Machine Learning, Signal Processing and Applied AI with DeepLearning
Recently, he published a book on "What's new in TensorFlow 2.x" with O'Reilly (https://learning.oreilly.com/library/view/whats-new-in/9781492073727/)
Romeo Kienzler is a member of the IBM Technical Expert Council and the IBM Academy of Technology - IBM’s leading brain trusts. #ibmaot