Matthew Rutledge-Taylor is the Technical Research Lead at Cogniva Information Solutions. Matthew earned undergraduate and doctoral degrees in Cognitive Science from Carleton University in 2002 and 2010, respectively. His dissertation described a model of human memory, based on holographic reduced representations. He spend two years as a post-doctoral researcher at Carnegie Mellon University in Pittsburgh, where he worked on an IARPA project, before joining Cogniva in 2012. While a doctoral candidate, Matthew worked for the CISTI (National Research Council), where he researched recommender systems.<\/p>\n
At Cogniva, Matthew is responsible for developing text analytics tools, such as a document autoclassification system that integrates with ISIS. He also researches technologies for assisting in the creation of ISIS models. Matthew\u2019s research interests include: text analytics, machine learning, and cognitive modeling. Matthew maintains both research relationships with both private industry and in academia<\/p>\n","protected":false},"template":"","meta":{"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","_mi_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"_links_to":"","_links_to_target":""},"people-type":[68],"yoast_head":"\n