For information about Web accessibility, please contact the Webmaster at webmaster@haverford.edu.

Haverford College

Photo Info

News

Share | Print Friendly and PDF

Spotlighted Student: Braden (Ford) Bohrmann '14

Braden (Ford) Bohrmann ‘14 grew up in Falmouth, Maine playing soccer, skiing and sailing. When it came time to look at colleges he was drawn to small liberal arts institutions with vigorous academics and a strong soccer team. After being recruited by Haverford’s soccer coach, Ford participated in an overnight visit with the team cementing his decision to attend Haverford.

 

Majoring in Economics with a concentration in Mathematical Economics, Ford has always had a passion for math and statistics, with a solid interest in economics. Money and Banking with Professor Indradeep Ghosh and Professor Richard Ball’s statistics course, Game Theory, stand out as curricular favorites.

 

Ford took a semester off his junior year, spending a few months in ‘Sea|mester’, a student program that mixes sailing, world travel and academic courses. Via sailboat he visited the Caribbean, sailed through the Panama Canal, and landed on the Galapagos Islands and on Tahiti. He also took classes in Marine Biology.

 

The summer after his freshman year Ford worked in a sporting goods store in his home town. The following two summers he worked for Simulmedia, a New York City based company focused on streamlining and targeting television advertising. Because he was part of a small team, he had broad responsibilities. Ford’s role as a data scientist translated into conducting statistical analysis, formulating algorithms, and predicting and forecasting advertising trends. He also maintains a blog, Soccer Statistically, which uses the recent emergence of data in the sport of soccer to better analyze the game.

 

Ford’s senior thesis relies heavily on statistics. Based on the idea that the distribution of stock returns and stock trading volume follow a power law distribution, Ford’s thesis will examine a number of models that have been put forward to explain the universal nature of the power law distribution in financial markets. One model suggests that the trades of large institutional investors cause fat-tailed distributions (probability distributions that exhibit large skewness). He aims to test these models by first fitting the power law distribution to returns and trading volume of a number of stocks. He will then test whether a fatter tail in the distribution of institutional traders holding a certain stock is associated with more fat-tailed distributions of volume and returns for the stock.

 

After graduation Ford will continue his studies at the University of Pennsylvania’s 4 + 1 Engineering program in the Computing and Information Technology program, earning a Master's Degree in Engineering. He and Isaac Anthony ’14 will both be in the program and will be roommates.

 

With Ford’s interests lying in entrepreneurial companies that focus on data science and statistics, he foresees a career in this sector.

The Climbing Stone, by Peter Rockwell '58, is located outside Magill Library.

Return to Site