Laura Fick

Laura Fick began their career in 2008 as an Undergraduate Student Researcher at the University of Maryland. Laura was also a Teaching Fellow, where they planned and held weekly discussion sections, taught topics on basic circuit theory, graded homework, exams and created and graded weekly quizzes. In 2009, they were an Explore Microsoft Intern at Microsoft. In 2010, they were a Student Intern at the Naval Research Laboratory. In 2011, they were a Graduate Student Research Assistant and a NSF Graduate Research Fellow at the University of Michigan. In 2012, they were hired by Mythic (Isocline) while at Michigan doing their PhD to work on their neuromorphic SBIR project, with the goal of developing an energy efficient neural network accelerator. In this role, they provided architectural analysis of analog compute specs, algorithm development and full system accuracy analysis for AI analog compute in memory, created novel analog compute architectures for high performance, low power AI applications, and conducted large scale data analysis for algorithm development, system level accuracy impact and analog spec setting for AI applications. Laura later became the Founding Analog Design Engineer and Head of Mixed Signal Circuits Research, where they developed novel new arrayed ADC techniques for analog compute in memory for AI applications, including advanced embedded memory analysis, arrayed ADC and DAC designs, low power analog signal chain development, and full system PPA analysis. Finally, they were the Director of AI Silicon Engineering, where they proposed the creation of a new team to own accuracy characterization, analysis, test development and algorithm creation. Laura hired and onboarded 10 members of the AI Silicon Engineering team and integrated the team into Mythic's company structure, contributing significant improvements to accuracy understanding as well as opportunities for improvement through algorithm development.

Laura Fick earned their Bachelor of Science (B.S.) in Electrical and Electronics Engineering from the University of Maryland in 2011. Laura then pursued a Master of Engineering (MEng) in Electrical and Electronics Engineering from the University of Michigan, which they completed in 2013. Laura continued their studies at the University of Michigan and received their Doctor of Philosophy (PhD) in Electrical and Electronics Engineering in 2016.