Charlie began his healthcare career with McKesson, serving as an advisor to independent pharmacists and helping them adapt to changing standards of care in a tumultuous reimbursement landscape. He liked helping people solve problems because he liked the people, he hated the problems, and he enjoys a puzzle. While he was good at this with his small group of customers, he knew that in order to solve bigger problems for more people, he would need to end a decades-long streak of avoiding math, and he enrolled in an MBA program the next fall.
At Ohio State, he pursued a self-designed course of study, geared toward assessing people’s needs and putting the pieces in place to meet them. Charlie read over 200 job descriptions while in school, and felt that Deep Lens was “head, shoulders, knees, and toes more exciting than the next-best opportunity.” His mother had lost a long battle with breast cancer in his final semester, and he leapt at the chance to help others solve this problem.
Charlie is also excited to have a court-side seat to at least a small part of what he thinks will go down in history (history was his undergraduate degree – no math whatsoever) as the best thing people did with the first waves of artificial intelligence: extend and improve each other’s lives.