Kristen Grauman

[1][4] Grauman studied computer science at Boston College, graduating summa cum laude in 2001.

She joined Massachusetts Institute of Technology for her postgraduate studies, earning a Master of Science degree in 2003[5] followed by a PhD in 2006 supervised by Trevor Darrell.

[2][6][3] During her PhD Grauman worked as a research intern at Intel and Lawrence Berkeley National Laboratory.

In 2007 Grauman was appointed Clare Boothe Luce Assistant Professor at University of Texas at Austin.

[16][17] She has developed several patents for machine learning; including pyramid match kernel methods[6] and a technique to efficiently identifying images.