Robert William Rankin
About Robert William Rankin
Robert William Rankin is a Data Scientist with extensive academic and professional experience in biology, statistics, and machine learning. He currently works at Thomson Reuters in Toronto and is a Postdoctoral Fellow at Georgetown University, focusing on meta-learning and few-shot learning.
Work at Thomson Reuters
Robert William Rankin has been employed as a Data Scientist at Thomson Reuters since 2019. He is based in Toronto, Ontario, Canada. In this role, he engages in applied research focused on machine learning, specifically targeting natural language processing (NLP) models for legal analytics. His work contributes to the development of innovative solutions in the legal sector, leveraging advanced data science techniques.
Current Role at Georgetown University
Since 2017, Robert Rankin has served as a Postdoctoral Fellow in the Department of Biology at Georgetown University. His research focuses on meta-learning and few-shot learning, which are advanced areas within machine learning. This position allows him to further explore his interests in quantitative ecology and contribute to academic advancements in biology.
Education and Expertise
Robert Rankin holds multiple degrees in various fields. He achieved a Doctor of Philosophy from Murdoch University, where he studied Biology and Philosophy from 2013 to 2016. He also earned a Master of Science in Biology from Lund University between 2007 and 2009. Additionally, he completed a Bachelor of Science in Environmental Science at Simon Fraser University from 2003 to 2007. He briefly studied Statistics at Duke University in 2014.
Professional Background
Robert Rankin has a diverse professional background. He worked as an Analyst at Bird Studies Canada for six months in 2010 and served as an Intern at Coady International Institute for one month in the same year. Earlier in his career, he was a Teacher-labourer at Frontier College / Collège Frontière in 2003. His experiences have contributed to his expertise in quantitative ecology and data science.
Research Focus and Contributions
Robert Rankin conducts research in higher-risk areas of machine learning, specifically meta-learning and few-shot learning. His work emphasizes applied and product-focused research, particularly in developing NLP models for legal analytics. His background as a quantitative ecologist informs his approach to data science, allowing him to integrate ecological insights into his research.