Lang Faith

Lang Faith is a Senior Associate at Princeton Consultants, with extensive experience in machine learning and algorithm development, notably enhancing railcar tracking efficiency by over 300% and leading a team to implement a rail management system. Prior experience includes roles at Axtria - Ingenious Insights, where Lang developed algorithms for medical treatment effectiveness and predicted health outcomes for diabetes, as well as at the Telluride Association, where Lang improved admission processes and automated election systems. Academic qualifications include a Master of Science in Applied Mathematics from Columbia University and a Bachelor of Arts in Mathematics and Philosophy from Cornell University. Additional experience includes delivering lectures on public speaking and policy research at the Pearson Institute and serving as a Nuclear Reactor Assistant Operator at Reed College.