Student and Researcher in Ithaca, NY
Chinasa Okolo is a second-year Ph.D. student in the Department of Computer Science at Cornell University. She comes to Cornell after receiving a degree in Computer Science from Pomona College in Spring 2018. After graduating, Chinasa completed a summer internship at Microsoft Research in Cambridge, England where she worked in the Biological Computation group, helping to develop computational models and domain-specific computational tools for bacterial quorum sensing.
Throughout her undergraduate studies, she conducted research at the University of Georgia, Columbia University, and Carnegie Mellon University in fields ranging from computational neuroscience to human-computer interaction. Chinasa’s research interests include global health, computer vision, machine learning, and information & communication technologies for development.
At Cornell, Chinasa is co-advised by Nicola Dell and Bharath Hariharan,she develops machine learning methods to improve healthcare information technologies in Sub-Saharan Africa for rapid diagnosis and treatment of infectious and tropical diseases. The computational pipelines produced in her methods will efficiently generate machine learning-assisted diagnostic paradigms for abnormal lab reports, providing health professionals with targeted information and fundamentally altering the way patients with these issues are managed and treated.