Announcing David Sidi, CDSDS Student Research Fellow

We welcome David Sidi, a third-year doctoral student in the School of Information and new CDSDS Student Research Fellow!

 

David's recent research with Hong Cui highlights the statistical benefits of techniques for preserving data privacy, which include improving data quality by correcting for response and nonresponse bias, and improving model validation with reusable holdout sets. Currently David is working with Catherine Brooks focusing on perceived privacy choice on randomized response procedures and also with Clayton Morrison on relation extraction from biomedical text. Along with his involvement in a series of upcoming CDSDS events, his research will be presented at the University of Arizona's IT Summit 2016, an event intended for campus IT professionals (http://itsummit.arizona.edu/​).  

 

He maintains an up-to-date wiki on privacy issues that encourages open community participation; please register to participate.