Maelstrom Research

Collaborative epidemiological research through rigorous data documentation, harmonization, integration, and co-analysis.

General Information
Company Name
Maelstrom Research
Founded Year
2012
Location (Offices)
Montreal, Canada +1
Founders / Decision Makers
Number of Employees
7
Industries
Analytics, Big Data
Funding Stage
-
Social Media

Maelstrom Research - Company Profile

Maelstrom Research is a Canadian startup founded in 2012 that focuses on collaborative epidemiological research. The company's slogan - "Collaborative epidemiological research through rigorous data documentation, harmonization, integration, and co-analysis" reflects its core mission. Maelstrom Research brings together an international team of epidemiologists, statisticians, and computer scientists to address the challenges faced by epidemiological research collaborations. Their expertise lies in the development of methods and open-source software to meet the data documentation, dissemination, harmonization, and co-analysis needs of study investigators and research networks. With a primary focus on the Analytics and Big Data industries, Maelstrom Research has established itself as a recognized leader in methods and infrastructure development for collaborative research. Through numerous international collaborations, the company has demonstrated its ability to implement comprehensive data frameworks that facilitate the use of epidemiological study data. Furthermore, years of experience and a history of providing advice to partners globally have contributed to Maelstrom Research's strong reputation in the field. Currently, there is no publicly available information regarding the last investment or associated investors. However, considering the increasing emphasis on data-driven research and collaborative approaches in the healthcare and scientific sectors, Maelstrom Research's specialized focus positions it as an attractive prospect for potential venture capital opportunities.

Taxonomy: Epidemiological Research, Data Documentation, Harmonization, Integration, Co-analysis, International Collaborations, Open Source Software, Cohort Studies, Methods Development, Data Frameworks, Non-Profit Organization, Research Networks, Data Dissemination, Statistical Methods

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