Science and Technology

Our dedicated faculty and quality facilities prepare students for science-related careers and graduate studies. We emphasize basic and applied research, technological applications, and international experiences because our objective is not merely to accumulate knowledge, but also to develop commitment and take action.

Faculty

Blais, Brian

Brian Blais

Professor, Science and Technology
Faculty Suite G, Room 455
bblais@bryant.edu


Brian Blais is a Professor of Science and Technology at Bryant University and a research professor at the Institute for Brain and Neural Systems, Brown University. He received his B.A. in Physics from Wesleyan University studying the thermal-emission properties of insulators. He then proceeded to Brown University to obtain a PhD in Physics, where he studied under Nobel Laureate Dr. Leon Cooper on the topic of computational neuroscience. He teaches and publishes in such diverse areas as computational neuroscience, robotics, epidemic modeling, statistical inference, and environmental resource dynamics. His interests surround the quantification of the dynamics of systems and their uncertainty. He maintains his blog, bblais on the web, at http://web.bryant.edu/~bblais/ where he explores the intersection of science and society He has a particular interest in statistical inference, as it applies to dynamical modeling but also as it applies to every-day decisions.

Dynamical Systems Analysis, Theoretical Neuroscience, Bayesian Inference, Science Education, Epidemiology

  • American Association of Physics Teachers
  • The American Statistical Association
  • 2015, Summer Stipend
  • 2006, 3-year NSF Collaborative Research in Computational Neuroscience (CRCNS) grant: ``The synaptic an
  • 2005, Service Award for exemplary service as a faculty member
  • 2001, Received Biomedical Research Infrastructure Network (BRIN) grant, as part of a cooperative effort wi

Blais, B., Statistical Inference for Everyone, 2014.

Skaza, J., Blais, B., The Relationship between Economic Growth and Environmental Degradation: Exploring Models and Questioning the Existence of an Environmental Kuznets Curve, Working Paper Series at the Center for Global and Regional Economic Studies, 2013.

Witkowski, C., Blais, B., Bayesian analysis of epidemics - zombies, influenza, and other diseases, arxiv.org, 2013.

Yang, H., Blais, B., Leng, Q., Stable isotope variations from cultivated Metasequoia trees in the United States: A statistical approach to assess isotope signatures as climate signals, Japanese Journal of Historical Botany, 2011.

Witkowski, C., Blais, B., Feng, L., Reid, C., Wang, H., Yang, H., Leng, Q., Decay and early diagenesis of Metasequoia leaves: Implications for three-dimensional preservation and bulk isotope signals in plant fossil lagerstätten, 49th Annual Meeting of the Northeastern Section of the Geological Society of America (GSA) Abstracts with Programs, 2014.

Blais, B., Gannon, C., Patalano, R., Yang, H., Leng, Q., Bayesian parameter estimation in a 1D model of precipitation and evaporation: comparison of Middle Miocene and modern climates using plant lipid deuterium (δD) measurements, 2013 Geological Society of America (GSA) Annual Meeting, Abstracts with Programs, 2013.

Gannon, C., Blais, B., Patalano, R., Yang, H., Leng, Q., Understanding the Middle Miocene climatic optimum: evaluation of deuterium values D related to precipitation and temperature, 2013 Geological Society of America (GSA) Annual Meeting, Abstracts with Programs, 2012.

Blais, B., Wrappers, Weight Watchers, and Whitespace: Using Python for Robotics in Education, 2013.

Blais, B., ScratchNXC.

Skaza, J., Blais, B., Modeling the infectiousness of Twitter hashtags , Physica A: Statistical Mechanics and its Applications , 2017.

Skaza, J., Blais, B., Modeling the Infectiousness of Twitter Hashtags, CoRR, 2016.