Kristal Curtis · Ph.D. Candidate, Computer Science · UC Berkeley
Kristal first learned how to code in college at UNLV, where she majored in Electrical Engineering & Computer Science. She was inspired by her undergrad research building software to detect gestures and followed her curiosity by pursuing her Ph.D. at Berkeley. She is a member of the UC Berkeley AMPLab, where she makes processing of the human genome more accurate. Kristal identifies error-prone genome regions and develops algorithms to significantly improve accuracy in those regions. She realized the power of Computer Science while interning at Google, where she quickly ran experiments on a 1,000 computers at once. Kristal’s advice is that “you don’t need to start early to learn how to code. You can learn at any age”.