B.S. in Computer Engineering from Universidad Nacional Autonoma de Mexico (UNAM)
Saiph is a PhD candidate in the department of Computer Science. She is a Conacyt-UC MEXUS Doctoral Fellow, and a Google Anita Borg Scholar. Her research in Machine Learning and Human Computer Interaction focuses on the design of social computing and crowdsourcing frameworks and systems that spark collaborations and empower users. Her research has been funded through the generosity of the Mexican Science Foundation (CONACYT,) UCMexus, Google, and Intel Labs. She holds a B.S. in Computer Engineering from the National Autonomous University of Mexico (UNAM.)
I connect machine learning with social computing to spark collaborations and empower users. I create frameworks that mine the digital traces of the crowd to better understand their behavior, and design socially engaging crowdsourcing systems. My research involves the areas of social computing, statistical machine learning, context aware computing, and HCI.