Dan Fess

Dan Fess is an accomplished mathematician and software engineer with a comprehensive background in mathematics and insurance consulting. Dan has worked as an Actuarial Summer Intern at Lane Clark & Peacock LLP, where data analysis was conducted using Monte Carlo methods. Dan's experience also includes a Research Assistant role at the University of Oxford, focusing on statistical methods for Machine Learning, and a Mathematics Instructor position at Princeton University, teaching linear algebra. Dan is currently pursuing a PhD in Mathematics at Princeton University, concentrating on Number Theory, and has contributed to research on binary forms and quintic equations. In the tech industry, Dan has held roles as a Software Engineer and has worked on the Pixel Security & Privacy Team at Google. Educational qualifications include an MMath from the University of Oxford and a PhD from Princeton University.