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Matt Linker has a diverse work experience with roles in various companies. Matt is currently working at Arta Finance as the Quant Research/Head of Derivatives since August 2022. Before that, they worked at Stanford University as a XCS224N Course Facilitator, where they successfully launched a virtual Stanford AI Graduate Certificate and instructed professionals on graduate-level concepts in vector calculus, Machine Learning, NLP, and Machine Translation.

Prior to that, Matt worked at Morgan Stanley as a Financial Engineering Associate from January 2022 to August 2022, and as a Financial Engineering Analyst from July 2019 to January 2022. Matt also worked at BAM.Money Inc. as a Software Engineering/Product lead from March 2017 to July 2019, where they developed a financial-technology site and served as a technical advisor to the CEO. Matt was listed as a co-inventor on a Provisional Patent Application during their time at BAM.Money Inc.

Additionally, Matt has experience as a Software Engineering Intern at Voxa Co from June 2016 to September 2017, where they worked on developing an image-stitching based calibration algorithm for an electron microscope stage and designed a pipeline for novel reconstruction processes.

Their work experience also includes a role as a Summer Research Intern at the University of Washington in 2014, where they developed a new protocol for the use of Goat anti-GFP antibody in primate heart and investigated the use of Kir2.1 as a novel marker of cardiomyocyte maturity.

Matt Linker attended Stanford University and earned a Bachelor of Science degree in Computer Science, with a focus on the Artificial Intelligence track. Prior to their time at Stanford, they also attended Lakeside School, although no specific degree or field of study is mentioned for this educational experience.