Bio coming soon!

Dr. Lyle Levine is a physicist at the National Institute of Standards and Technology (NIST) in the USA. Dr. Levine founded and co-leads several prominent national and international efforts in the areas of additive manufacturing (AM) and qualification and certification (Q&C).

As one example, Dr. Levine founded and co-leads the Additive Manufacturing Benchmark Test Series (AM Bench), a NIST-led organization that has built collaborations with more than 30 US and European research organizations to provide rigorous AM benchmark measurement data and challenge problems to the AM modeling community.

AM Bench is the world’s largest provider of AM validation data, with approximately 1670 unique user data downloads each month.

For further information on AM Bench, please visit our website at www.nist.gov/ambench.

Caroline Uhler is a core institute member of the Broad Institute of MIT and Harvard, where she directs the Eric and Wendy Schmidt Center and is a member of the Scientific Leadership Team. She is also the Andrew (1956) and Erna Viterbi Professor of Engineering in the Department of Electrical Engineering and Computer Science and the Institute for Data, Systems, and Society at MIT.

Caroline’s research lies at the intersection of machine learning, statistics, and genomics, with a particular focus on causal inference, representation learning, and gene regulation.

Caroline is recognized as a creative and innovative researcher and teacher at the intersection of machine learning, statistics, and biology. She is a SIAM Fellow, a Fellow of the IMS, a Sloan Research Fellow, and an elected member of the International Statistical Institute. In addition, she has received multiple awards including an NIH New Innovator Award, a Simons Investigator Award, and an NSF Career Award.

Caroline holds an MSc in mathematics, a BSc in biology, and an MEd all from the University of Zurich. She obtained her PhD in statistics from UC Berkeley in 2011 and then spent three years as an assistant professor at IST Austria before joining the faculty at MIT in 2015.

Roseanna Zia is an Associate Professor of Chemical Engineering and Materials Science at the University of Missouri. Her research focuses on the physics of soft matter, including colloids, suspensions, gels, and other complex materials whose properties emerge from interactions at the microscopic scale.

Zia combines theory, simulation, and quantitative analysis to understand how structure and dynamics evolve in nonequilibrium systems, with relevance to materials design, processing, and performance. Her work sits at the intersection of engineering and statistical physics, and it has implications for a wide range of applications, from advanced manufacturing to consumer and biomedical materials.

She is also recognized for mentoring students in interdisciplinary research and for bringing rigorous physical insight to challenging problems in soft condensed matter.