David K.A. Mordecai was Invited to Present at the Physical Sciences Oncology Center
Dr. David K.A. Mordecai was invited to the Physical Sciences Oncology Center (PSOC) at Princeton University, to make a presentation on January 29, 2014 entitled Spatial Niche Tournaments: Implications of Economic Tradeoffs in Productivity Underlying Cancer Cell Metabolism. PS-OC is a collaborative network of twelve leading US research institutions (including Cornell University, Johns Hopkins University, MIT, Princeton University and Stanford University), to which the NIH National Cancer Institute (NCI) has awarded cooperative agreements.
Dr. Mordecai and a collaborating post-doctoral researcher were subsequently invited to further present related research Spatial Niche Strategies: The Roles of Economic Production and Exchange in Cancer Cell Metabolomics to the PS-OC Steering Committee on March 19, 2014, and to subsequently attend and actively participate in the proceedings and activities during the PS-OC annual meetings at the National Institutes of Health (NIH) headquarters from April 1-4, 2014. Both the January and March 2014 presentations addressed game theoretic strategies relevant to the evolving metabolic heterogeneity of a tumor cell population as a microeconomic phenomenon, related to joint work with a former doctoral student at Courant Institute, subsequently a post-doctoral researcher employed during 2013-2014 with the title of Senior Research Scientist affiliated with RiskEcon® Lab @ Courant Institute of Mathematical Sciences.
David K.A. Mordecai is Co-Managing Member of Numerati® Partners and advises research activities at RiskEcon® Lab @ Courant Institute of Mathematical Sciences NYU.
About RiskEcon® Lab @ Courant Institute
The mission of RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Science NYU is the development of experimental testbeds and analytics that employ high-dimensional datasets from innovative sources by applying a range of computational and analytical methods to commercial and industrial sensor networks and edge computing embedded systems, focusing primarily on research and development (R&D) of remote- and compressed- sensing, anomaly detection, forensic analytics and statistical process control. By employing applied computational statistics within the context of robust and scalable data analytic solutions, the goal is robust and reliable integration of machine learning with signal processing for measurement and control, in order to conduct research fundamental to large-scale, real-world questions in risk and liability management.
RiskEcon® Lab for Decision Metrics was established in 2011 at Courant Institute of Mathematical Sciences, an independent division of New York University (NYU). Courant is considered to be one of the world’s leading mathematics educational and scientific research centers, and has been ranked first in research in applied mathematics. RiskEcon® Lab is the cornerstone of the Computational Economics and Algorithmic Data Analytics (CEcADA) cooperative at New York University, established concurrently in 2011.
Dr. Mordecai and a collaborating post-doctoral researcher were subsequently invited to further present related research Spatial Niche Strategies: The Roles of Economic Production and Exchange in Cancer Cell Metabolomics to the PS-OC Steering Committee on March 19, 2014, and to subsequently attend and actively participate in the proceedings and activities during the PS-OC annual meetings at the National Institutes of Health (NIH) headquarters from April 1-4, 2014. Both the January and March 2014 presentations addressed game theoretic strategies relevant to the evolving metabolic heterogeneity of a tumor cell population as a microeconomic phenomenon, related to joint work with a former doctoral student at Courant Institute, subsequently a post-doctoral researcher employed during 2013-2014 with the title of Senior Research Scientist affiliated with RiskEcon® Lab @ Courant Institute of Mathematical Sciences.
David K.A. Mordecai is Co-Managing Member of Numerati® Partners and advises research activities at RiskEcon® Lab @ Courant Institute of Mathematical Sciences NYU.
About RiskEcon® Lab @ Courant Institute
The mission of RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Science NYU is the development of experimental testbeds and analytics that employ high-dimensional datasets from innovative sources by applying a range of computational and analytical methods to commercial and industrial sensor networks and edge computing embedded systems, focusing primarily on research and development (R&D) of remote- and compressed- sensing, anomaly detection, forensic analytics and statistical process control. By employing applied computational statistics within the context of robust and scalable data analytic solutions, the goal is robust and reliable integration of machine learning with signal processing for measurement and control, in order to conduct research fundamental to large-scale, real-world questions in risk and liability management.
RiskEcon® Lab for Decision Metrics was established in 2011 at Courant Institute of Mathematical Sciences, an independent division of New York University (NYU). Courant is considered to be one of the world’s leading mathematics educational and scientific research centers, and has been ranked first in research in applied mathematics. RiskEcon® Lab is the cornerstone of the Computational Economics and Algorithmic Data Analytics (CEcADA) cooperative at New York University, established concurrently in 2011.
