David Penn stands at the forefront of modern song analysis and analytics.

In 2010, he revolutionized the field by developing the "hit songs deconstructed" methodology, a groundbreaking approach for analyzing music that has since been dubbed as "music theory for popular music." His pioneering work led to the founding of Hit Songs Deconstructed, a platform that has become an indispensable resource for music professionals and academics alike, and has been adopted by prestigious institutions such as the Berklee College of Music, Frost School of Music, and USC Thornton School of Music, among many others.

Penn's expertise and insights have been featured in podcasts and articles by esteemed publications such as Billboard, Variety, Music Week, BMI, Financial Times, and The Economist. He is a sought-after speaker, delivering guest lectures at leading universities like the Berklee College of Music, NYU, and the Frost School of Music as well as music industry events such as the Music Industry Association’s Music Biz, CD Baby's DIY Musician Conference, the Association for Popular Music’s annual conference, among others. He also conducts custom workshops for major labels and publishers such as Atlantic Records and BMG.

Beyond academia, Penn offers coaching to both emerging and established songwriters and producers, sharing his deep understanding of the craft and trends behind hit songs. His comprehensive knowledge of music spans all time periods and genres, making him a revered consultant for songwriters, producers, publishers, and labels alike.

Most recently, Penn co-founded ChartCipher, a platform that leverages AI to provide song analytics. ChartCipher delves into the compositional, lyrical, and sonic qualities of hit songs, offering real-time insights into the traits that propel songs to the top of today's most popular music charts.