Data Science Team

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pfox@cs.rpi.edu (Peter Fox), Rensselaer Polytechnic Institute (USA)

Peter Fox is professor and Tetherless World Research Constellation chair at Rensselaer Polytechnic Institute. Fox's research and education agenda covers the fields of data science and analytics, ocean and environmental informatics, materials informatics, computational logic, semantic Web, cognitive bias, semantic data frameworks, and solar and solar-terrestrial physics. This research is also applied to large-scale distributed, and data science collaborations. Fox leads DCO’s Data Science Team and is a member of the Executive Committee.

fontak@rpi.edu(Kathleen Fontaine), Rensselaer Polytechnic Institute (USA)

Dr. Kathleen Fontaine is an adjunct professor of data policy at Rensselaer Polytechnic Institute (RPI) and co-lead of the Data Science Team there. Her research focuses on the integration of data into public policy. Before coming to DCO, she was Managing Director of Research Data Alliance/US. She remains an active participant in RDA. Prior to joining RPI, Fontaine worked at the National Aeronautics and Space Administration (NASA) Global Change Data Center, at Goddard Space Flight Center, where she managed the Earth Science Data Systems Working Groups. She also worked as a policy analyst for NASA for a decade, participating in two international, interagency organizations – the Committee on Earth Observations Satellites Working Group on Information Systems and Services and in the Group on Earth Observations. Fontaine still works with GEO, and continues to be actively involved in the international data policy arena.

rogerk5@rpi.edu(Karyn L. Rogers), Rensselaer Polytechnic Institute (USA)

Dr. Karyn Rogers is an assistant professor in the Departments of Earth and Environmental Sciences and Biological Sciences at the Rensselaer Polytechnic Institute. She is Co-Director of DCO’s PRIME (Piezophile Research Instrumentation for Microbial Exploration) Facility and Associate Director of the New York Center for Astrobiology. Rogers’ research focuses on the relationships between microbial communities and environmental conditions in extreme ecosystems, and is broadly applied to understanding the nature of the origin of life on Earth, the potential for life throughout the solar system, and the extent of life in modern extreme environments. She is a member of the Deep Life Community.

eleisa@rpi.edu(Ahmed Eleish), Rensselaer Polytechnic Institute (USA)

Ahmed Eleish is visiting researcher at Carnegie Institution for Science and a graduate student in the School of Science at Rensselaer Polytechnic Institute, working with the Tetherless World Constellation. He received his Bachelor's degree in Computer Science from Helwan University in Egypt, then went on to work at Oracle Corporation as a consultant. He is presently pursuing his PhD in Multidisciplinary Science, exploring a data-driven approach to the traditional scientific method. His research interests include knowledge representation and discovery, computational linguistics, and artificial intelligence.

Data Science Advisory Committee

ghiorso[at]ofm-research.org (Mark S. Ghiorso), OFM Research Inc. (USA)

Dr. Mark Ghiorso is the vice president and senior research associate at OFM Research Inc. Ghiorso also serves as an affiliate professor at the University of Washington and adjoint professor at Vanderbilt University. He also serves as an associate editor for the American Journal of Science and Contributions to Mineralogy and Petrology. Ghiorso is a fellow, councilor, and distinguished lecturer of the Mineralogical Society of America, a fellow of the Geological Society of America and the American Geophysical Union. His work has been recognized with honors from the Mineralogical Society of America, European Geosciences Union, and the American Geophysical Union.

lehnert@ldeo.columbia.edu(Kerstin Lehnert), Columbia University (USA)

Dr. Kerstin Lehnert is the Doherty Senior Research Scientist at Lamont-Doherty Earth Observatory at Columbia University. Lehnert’s fields of interest are geoinformatics, scientific data management, igneous petrology, and geochemistry. She is actively involved in a number of projects that strive to make data accessible including EarthChem, Geoinformatics for Geochemistry, and Interdisciplinary Earth Data Alliance.  The Geochemical Society recognized her work with a Distinguished Service Award.

tullis[at]princeton.edu(Tullis Onstott), Princeton University (USA)

Dr. Tullis Onstott is a professor of geosciences at Princeton University. For 23 years, he has focused his research on subsurface microbial life. His research involves exploration of subsurface microbial ecosystems via mines, drilling, and new underground laboratories, and quantifying their community structure, function, and activity. His group analyzes metagenomes, metatranscriptomes and metaproteomes, performs stable isotope measurements, and combines geochemical measurements with thermodynamic models. In 2007, Time Magazine named Onstott one of the 100 most influential people in the world. The U.S. Department of Energy also recognized his excellent research with awards on three occasions.

mitchellsogin[at]gmail.com(Mitchell Sogin), Co-Chair, Marine Biological Laboratory (USA)

Dr. Mitchell Sogin is the distinguished senior scientist at the Marine Biological Laboratory. Sogin investigates the diversity and evolution of single-cell organisms. His molecular phylogeny produced the reference framework for understanding the evolution of microbial eukaryotes. He documented early diverging eukaryotic lineages, provided the first evidence of a specific link between animals and fungi to the exclusion of all other eukaryotes, demonstrated that the AIDS pathogen Pneumocystis shares a recent common evolutionary history with fungi instead of with parasitic protozoa that cause malaria, and he discovered the “rare biosphere” which accounts for most of the microbial diversity on Earth. He is a fellow of the American Academy of Microbiology, the American Academy of Arts and Sciences, and the American Association for the Advancement of Science.