Fatma Nasoz, Ph.D. holds a joint appointment as an Associate Professor at the Department of Computer Science and the Director of Data Science at The Lincy Institute. Her research interests are in machine learning, deep learning, and human-computer interaction. Her current research focuses on deep learning analysis of primary and secondary data across numerous domains like health, education, finance, and genomics. Most recently she is a co-investigator on the Genomics Acquisition and Analysis (GAA) Core that supports the genomics research projects of the $11.4M National Institutes of Health (NIH) grant awarded to Nevada Institute of Personalized Medicine (NIPM) to establish a Center of Biomedical Research Excellence (COBRE) at UNLV. She is also a co-principal investigator on a Teledyne-Brown Engineering grant to develop computer and video-based learning tools for the cadre as well as for the International Space Station (ISS) payload developers at NASA.

At The Lincy Institute, she steers computer and data science research to inform The Institute's data collection, management, analysis, and visualization efforts. She leads the Institute’s data and technology initiatives including its data repository; assessing data analytics and information technology needs in health, education, and social services in Southern Nevada; and collaborating with local organizations to build and enhance their information technology and data management capacity through scalable and easy to implement systems that have high quality of service and low operating costs.

Nasoz is passionate about increasing the number of women in Computer Science. In 2017, she was part of the team that led the initiative to launch the first Girls Who Code Club at UNLV, which provided instruction in programming fundamentals, web development and design, mobile development, and robotics to female students from local high schools. She was the recipient of UNLV’s 2018 Faculty/Staff Community Outreach Award based on this effort.

She is affiliate faculty with the Nevada Institute of Personalized Medicine as well as the Learning Sciences program at the Department of Educational Psychology and Higher Education.