Romeo Kienzler

Romeo Kienzler serves as Senior Scientific Software Engineer and STSM at IBM Research Europe, bringing extensive expertise in data science, AI, and cloud computing. After earning his M.Sc. in Information Systems, Bioinformatics & Applied Statistics from ETH Zurich, he has built an impressive career spanning roles including CTO and Chief Data Scientist at IBM's Center for Open Source Data and AI Technologies (CODAIT) and Global Chief Data Scientist for IBM Watson IoT. His academic contributions include serving as Associate Professor for Artificial Intelligence at the Swiss University of Applied Sciences Berne, while his research focuses on cloud-scale machine learning and deep learning using open source technologies. As lead instructor for IBM's Advanced Data Science specialization on Coursera, he teaches courses on Scalable Data Science, Advanced Machine Learning, Signal Processing, and Applied AI with Deep Learning. His expertise spans massive parallel data processing architectures, machine learning, and blockchain technologies, with significant contributions to open source projects and international publications. A member of both the IBM Technical Expert Council and IBM Academy of Technology, he continues to advance the field through his work on TensorFlow, Keras, DeepLearning4J, Apache SystemML, and the Apache Spark stack, while advocating for ethical machine learning, transparency, and privacy in AI development.