Mark Benford is a mathematician and professor known for his work in the field of statistics. He is particularly recognized for his research on Benford's Law, which describes the frequency distribution of leading digits in many real-life sets of numerical data. This law suggests that in many naturally occurring datasets, the number 1 appears as the leading digit about 30% of the time, while larger digits occur less frequently. Benford's Law has applications in various fields, including fraud detection, where it can help identify anomalies in financial data. By analyzing the distribution of digits in datasets, researchers and analysts can uncover irregularities that may indicate manipulation or errors in reporting.