FutureStarr

David Olsen:

David Olsen:

David Olsen is a research systems engineer with CLA's Liberal Arts Technologies and Innovation Services (LATIS). While his formal background and research interests focus on economics, 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 develop more efficient algorithms to improve the computational tractability of their analyses. As a member of LATIS' Research Division, David's work falls under three axes: research computing and programming, data analysis, and consulting/instruction. Some recent examples of his projects include: design and maintenance of CLA's research cluster; development of APIs and tools to integrate MTurk, Qualtrics and custom web-based studies; creation of machine learning models to ingest and extract meaning from images; development of an MRI simulator; among others. (Source: cla.umn.edu)

| David has been a leader in the digital retail space for 20 years. Since 2016, and just prior to joining Highlander, he served as the CEO of private equity-backed Cos Bar, where he brought his digital and e-commerce expertise to transition and grow a traditionally brick-and-mortar beauty retailer into an omnichannel business, while remaining true to its luxury DNA. Prior to Cos Bar, he launched the beauty and grooming businesses at Net-A-Porter and Mr. Porter as Global Vice President, growing those businesses by triple digits annually during his tenure. He originally founded and was the CEO of an e-commerce cosmeceutical business, DermTeam, which he later sold to DermStore, where he went on to lead business development, buying, and operations before selling the business to Target in 2012. (Source: highlander-partners.com)

David Olsen is a research systems engineer with CLA's Liberal Arts Technologies and Innovation Services (LATIS). While his formal background and research interests focus on economics, mathematics, and statistics, David's professional career principally involves working with other researchers to develop novel solutions in the acquisition and transformation of data as well as to develop more efficient algorithms to improve the computational tractability of their analyses. As a member of LATIS' Research Division, David's work falls under three axes: research computing and programming, data analysis, and consulting/instruction. Some recent examples of his projects include: design and maintenance of CLA's research cluster; development of APIs and tools to integrate MTurk, Qualtrics and custom web-based studies; creation of machine learning models to ingest and extract meaning from images; development of an MRI simulator; among others. (Source: cla.umn.edu)

 

 

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