Chinasa Theodora Okolo Chinasa Okolo DOB: 05/11/1996 SSN: 486-13-2103 Cellular Number: 816-332-1987 IMAGES http://cs.cornell.edu/~chinasa/images/chinasa_gem.jpg https://twitter.com/ChinasaTOkolo/photo INFO Boston University Cornell University 350 Gates Hall, Ithaca, NY Pomona College chinasa@cs.cornell.edu theonasa511@hotmail.com cs.cornell.edu/~chinasa https://cornell.academia.edu/chinasa https://github.com/chinasaokolo https://linkedin.com/in/chinasa-okolo-166023214 https://chinasaokolo.com/ https://drive.google.com/file/d/1P7rxWmsKPnMNjinVfX7io0IAK4pRdMc1/view https://twitter.com/chinasza https://twitter.com/chinasatokolo https://scholar.google.com/citations?user=NgxiND4AAAAJ&hl=en INFO 2 Chinasa T. Okolochinasaokolo 🧠 Researching, coding, reading Follow PhD Candidate. Computing extraordinaire. Researcher in computer vision and ICTD for global health. Currently engulfed in grad school. INFO 3 I am a Ph.D. Candidate in the Department of Computer Science at Cornell University, co-advised by Nicki Dell, Bharath Hariharan, and Aditya Vashistha. I came to Cornell after receiving a degree in Computer Science from Pomona College in Spring 2018. After graduating, I completed a summer internship at Microsoft Research in Cambridge, England where I worked in the Biological Computation group, helping to develop computational models and domain-specific computational tools for bacterial quorum sensing. I recently interned at Apple where I developed responsible AI/ML methodologies for health sensing applications. My work has been supported by The National GEM Consortium, Oracle Corporation, and NANOG. I am an affiliate of Mechanism Design for Social Good (MD4SG) and The Cornell Center for Health Equity (CCHEq). As an undergrad, I conducted research at the University of Georgia, Pomona College, Columbia University, and Carnegie Mellon University in fields ranging from computational neuroscience to human-computer interaction. My research interests include computer vision, global health, explainable AI, and information & communication technologies for development. My research leverages ethnographic methods to understand how frontline healthcare workers in low-resource regions perceive and value artificial intelligence (AI). I also examine FATE (fairness, accountability, transparency, and ethics) in AI-enabled technologies deployed throughout the Global South, with a focus on healthcare. I was born and raised in Kansas City, Missouri to Nigerian immigrants. I proudly graduated from Lincoln College Preparatory Academy and the KCPS Early College Academy at MCC - Penn Valley, earning both a high school diploma and Associate's degree. For fun, I like to compose songs, update my blog, read intriguing articles, travel the world, and scroll down my Twitter feed. Here's my approved biography and headshot. I am unable to take on any undergraduate researchers at the moment.