Primary Job Title Data Engineering Technical Leader Primary Organization Cisco
Location Lakewood, California, United States Regions Greater Los Angeles Area, West Coast, Western US Gender Male
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From 2002 to 2014, Dan worked for ALEKS, the pioneer system in artificially intelligent, online adaptive learning and assessment, eventually becoming Editorial Director and “chief architect” for all the math products along with Director of User Experience (UX), leading diverse teams from Content, UX and Tech in designing and implementing all the
math content along with numerous key features, tools, and systems. Dan also developed many key improvements to the ALEKS AI “engine”, and he used the vast ALEKS data along with expert curriculum knowledge to personally build many of the Knowledge Structures used by the ALEKS AI to guide student assessment and learning. From 2015 to 2017, he worked to implement a version of this model with Ready4, a mobile and online test prep app, to provide (1) a scoring system that predicts in real time each student’s score on the actual test [GMAT, GRE, SAT, …], and (2) an adaptive testing system to quickly measure student performance.
Dan achieved a PhD from the Institute for Math Behavioral Sciences at UC Irvine under Charles Chubb, specializing in new “pixel-wise” models of low-level vision with many parameters.
