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Scott M.

PRO TIP:

When evaluating whether a mentor would be a good match for your student keep in mind that the greatest leading indicator of success is how well a mentor and their mentee get along.


Questions to ask yourself:

  • Would the student find this person inspiring?
  • Do they share any interests, hobbies, or lived experiences?

EDUCATION

- Present • Stanford UniversityStanford, California
I am passionate about mentoring students in the areas of Machine Learning & AI, Statistics, Calculus, Computer Science, Geometry, and Computer Science & Coding.

Scott M. (IN A NUTSHELL)

Scott is a master’s student in statistics at Stanford University, with a bachelor’s in mathematics and minor in computer science. Scott seeks to use his statistical skills to better understand the world and tackle complex problems. As a huge sports fan, this has led him down a path in sports analytics, as he tries to better understand the game and help players and teams improve. For years he wrote for hockey outlets such as Blueshirt Banter and DobberHockey, using analytics to write about the New York Rangers and fantasy hockey. In 2019 he was invited to present his original research on special teams at the Seattle Hockey Analytics Conference. In the summer of 2022 he interned with the Arizona Cardinals in their analytics department. His favorite sports include hockey, American football, beach volleyball, and football. Outside of work he enjoys weight lifting and other physical activities, such as cycling, obstacle course racing, and parkour. Scott loves to talk about music, quantum physics, nutrition, and interesting problems.