Government

Datacast Episode 103: Computational Economics, Statistical Arbitrage, and Adaptable Data Consolidation with Eric Daimler

Datacast Episode 103: Computational Economics, Statistical Arbitrage, and Adaptable Data Consolidation with Eric Daimler

Dr. Eric Daimler is an authority in Artificial Intelligence with over 20 years of experience in the field as an entrepreneur, executive, investor, technologist, and policy advisor. Eric has co-founded six technology companies that have done pioneering work in areas ranging from software systems to statistical arbitrage.

As a Presidential Innovation Fellow during the Obama Administration, Eric helped drive the agenda for U.S. leadership in research, commercialization, and public adoption of AI. He has also served as the Assistant Dean and an Assistant Professor of Software Engineering at Carnegie Mellon’s School of Computer Science. He specializes in public policy and economics, helped launch Carnegie Mellon’s Silicon Valley Campus, and founded its Entrepreneurial Management program. His academic research focuses on the intersection of Machine Learning, Computational Linguistics, and Network Science.

As a frequent keynote speaker, Eric has presented at venues including the engineering schools of MIT, Stanford, and Harvard. He studied at Stanford University, the University of Washington-Seattle, and Carnegie Mellon University, where he earned his Ph.D. in its School of Computer Science.

Datacast Episode 96: Data Science Training and The Power of Education with Merav Yuravlivker

Datacast Episode 96: Data Science Training and The Power of Education with Merav Yuravlivker

Merav Yuravlivker is the Co-founder and Chief Executive Officer of Data Society. With over ten years of experience in instructional design, training, and teaching, she started her career teaching elementary special education in NYC public schools through the Teach for America program. She went on to join the International Baccalaureate Organization, where she developed deep expertise in online training, assessments, and recruitment. She also taught as a Kaplan GRE instructor, where she ranked as one of their top 10% instructors based on student surveys.

Merav found her passion for education and knew that she wanted to make an impact on an even larger scale. She recognized the importance of data literacy and began her data journey by learning how to program and design best practices for students during her free time. Six months later, she left her full-time job to focus on building Data Society along with her co-founders. Over the past seven years, she and her team have developed customized, industry-tailored data science training solutions that educate, equip and empower an organization’s workforce to achieve its goals and expand its impact.