Michel Dumontier

Dr. Michel Dumontier is a Distinguished Professor of Data Science at Maastricht University. His research focuses on the development of computational methods for scalable integration and reproducible analysis of FAIR (Findable, Accessible, Interoperable and Reusable) data across scales - from molecules, tissues, organs, individuals, populations to the environment. His group combines semantic web technologies with effective indexing, machine learning and network analysis for drug discovery and personalized medicine.

Previously at Stanford University, Dr. Dumontier now leads a new inter-faculty Institute for Data Science at Maastricht University with a focus on accelerating discovery science, improving health and well being, and strengthening communities. He is a Principal Investigator for the NCATS Biomedical Data Translator and a co-Investigator for the NIH BD2K Center for Expanded Data Annotation and Retrieval (CEDAR). He is a member of the Dutch TechCenter for Life Sciences, and participates in Elixir, a EU wide initiative to develop a distributed infrastructure for life-science information. He is the editor-in-chief for the IOS press journal Data Science and an associate editor for the IOS press journal Semantic Web. He is a technical lead for the FAIR (Findable, Accessible, Interoperable, Re-usable) data initiative, and is the scientific director for Bio2RDF, an open source project to generate Linked Data for the Life Sciences.

He has published over 125 articles in top rated journals and international conferences. He is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies as evidenced by awards, keynote talks at international conferences, and collaborations on international projects.

John Kaltenmark

John Kaltenmark retired from Accenture in August 2014 after over 28 years in various global management roles and client project leadership roles. Since his retirement, he has been providing consulting services to C level executives and their boards in the technology industry and has served on several software company advisory boards.

At Accenture, John was the Group Technology Officer for the Communications, Media, and Technology (CMT) Operating Group from 2012-2014. In this role, John was responsible for setting the technology strategy & growth agenda across the industries CMT serves. Previous to this role, John was the Global Managing Director - Technology Consulting from the business’ inception in 2003 - 2012. In 2009 John also took responsibility for the Infrastructure Outsourcing/Managed Services business. The combined practice grew to more than 20,000 professionals globally under John’s leadership providing our clients with both broad based consulting and delivery services around infrastructure transformation and outsourcing, and highly specialized services in key areas such as IT strategy, application portfolio modernization and optimization, security, data center optimization, networking, storage management and workplace technology/collaboration.

John O'Dwyer

John O’Dwyer is a Solutions Architect at Databricks where he helps empower customers with their Data and AI projects at scale. John is a hands-on distributed system and data science engineer with extensive experience developing internet-scale infrastructure, data platforms, and predictive analytics systems. While John has over 20 years of experience in the software industry as a whole, in the past 10 years he has participated at the ground level in the market shift towards cloud technologies and complete separation of storage and computing. He has an MS from the University of Colorado and a BS from Ohio University. His current technical focuses include Distributed Systems, Apache Spark, Delta Lake, and Machine Learning.

Howard Levenson

Howard Levenson has over 30 years of experience solving challenging information technology problems for the intelligence community and other federal customers. He started the Databricks Federal business when the company was doing $1M in revenue and ultimately retired as the General Manager and Regional Vice President of Databricks Federal, LLC in 2022 as the organization had over 45 Federal agencies as customers and over 65 people. He helped establish Databricks Federal into one of the leading providers of big data and machine learning analytical solutions for the Federal Government.

Today, he fulfills his technical curiosity by helping startup companies in the Artificial Intelligence arena achieve their goals while also helping the Federal Government achieve its goals with AI.

Howard has a BS in Mechanical Engineering from Northeastern University and has spent his career solving challenging, big data, and high-performance computing problems for the Federal Government. He’s performed in leadership roles for companies including IBM and Silicon Graphics/Cray, and has extensive experience leveraging open source technology, cloud, and big data to solve the world’s most challenging problems. He lives with his wife of 35 years in Rockville, MD and together they have 3 grown daughters.