Meredith serves as Nano’s Principal Data Scientist in Residence, with experience across multiple verticals, including non-profits, education, psychology, and finance. Meredith has worked with a number of startups, large colleges, and VC/ PE firms through her role as Principal Scientist at Valkyrie. Prior to Valkyrie, Meredith worked at Goldman Sachs and ACT performing data science and research to improve consumer-facing digital platforms. Meredith has her PhD in Quantitative Methods and MA in Educational Psychology from the University of Texas. Her dissertation work focused on item selection methods for polytomous computer adaptive testing. She studied Psychology and French at Wake Forest University.