Ellie is the founder and CEO of Talus Analytics, bringing a scientific approach to lead high-profile projects that shape the way decisions are made in the fields of global public health, natural disaster planning and response, and risk assessment. Ellie is an accomplished researcher and data expert who has built a unique approach to data analysis, visualization, and computational modeling to inform policy and operational decision making. She earned her PhD in Biology from MIT and undergraduate degree in Microbiology from Oregon State University. In addition to her work at Talus, Ellie is a research affiliate at Georgetown University Center for Global Health Science and Security and co-CEO of a collaborating company, RedZone Analytics.
Justin leads research efforts company-wide, managing projects and publishing the results in peer-reviewed scientific journals. Justin draws upon his background in biomedical science and a breadth of data analysis, visualization, and computational modeling expertise to address challenges in the global health security, emergency management, and public health emergency response. Justin has a Ph.D. in Neuroscience from the University of Maryland, an undergraduate degree in Biology from the University of South Florida, and was previously a research fellow at the National Institutes of Health.
Trae leads the development team at Talus, integrating strategy, research, and analysis into software prototypes built on a robust, repeatable platform. Trae has extensive experience in consulting and leading technology startups putting data to work for clients through analysis and powering innovative products. Trae brings a strong business background to Talus, including an MBA from MIT and an undergraduate degree in Economics and Philosophy from Columbia University.
Nicole leads design and user experience at Talus, developing design standards for the company and telling the stories of clients’ data through visualizations. She brings data to life with creative and intuitive visualizations and combines her prior experience in design and development with research experience creating user-centered interfaces to make results intuitive for users. Nicole earned her MS in Information and Communication Technology for Development from the ATLAS Institute at University of Colorado at Boulder and undergraduate degree in design from the College for Creative Studies in Detroit, MI.
Steph directs quantitative analysis and ontology development across a wide range of research projects at Talus with a special focus on and passion for global public health and public health response. She has extensive experience in public health research, statistical analysis, machine learning, modeling, and systems analysis. Steph earned an MSP degree in Statistics from Carnegie Mellon University and an undergraduate degree in Biochemistry from the University of California, Los Angeles.
Mike brings to Talus expertise in computational modeling, designs and builds data architectures, including ontology and taxonomy development, and conducts data analysis to support client decision-making. He is a skilled programmer, data analyst, and all-around data guru who has extensive experience working with models used in emergency management and public health preparedness and response. Mike holds both an MSE in Chemical and Bimolecular Engineering and an undergraduate degree in Biomedical Engineering from Johns Hopkins University.
Britt is a senior researcher and data analyst with expertise in modeling and performing quantitative analysis in environmental systems, natural hazards, and public health. They are experienced in applying data to inform decision-making, building collaborations, and communicating the results of their work with other researchers and stakeholders. Britt earned a PhD in Environmental Engineering from MIT, a master’s degree in Civil and Environmental Engineering from the University of Iowa, and an undergraduate degree in Earth and Planetary Sciences from Washington University in St. Louis.
John is a data scientist, with expertise as a statistician and data analyst with a keen eye to translating math and numbers to solve real-world problems. John develops data architectures and models to power Talus projects and is actively involved in developing new methods of risk assessment for flood, wildfire, and other hazards. John brings to Talus undergraduate degrees in Applied Mathematics and Computer Science from Brown University and an MS in Statistics from Pennsylvania State University.
Kelsey is experienced in public health research and contributes to public health projects across Talus and develops the processes and structures that support Talus projects. With a background in administration, she brings a sense of organization to her work and has a special talent for moving tasks forward, while proving an adept public health researcher. Kelsey earned her MPH in Epidemiology from the Boston University School of Public Health and an undergraduate degree in Anthropology from the University of Colorado at Boulder.