Osita Ukwuaba

Osita Ukwuaba is a Computer Science master’s student with specialization in interactive intelligence. He is interested in Artificial Intelligence in education, machine learning and AI for health analytics.

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Scott Bunin

Scott Bunin teaches computer science in New York City.  He has 15 years of experience teaching computer science and technology to K-12 students.  He is currently working as the computer science department lead at the Academy for Software Engineering where he is focusing on making computer science more accessible to…

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Kevin Hare

Kevin teaches computer science in Atlanta, Georgia. He has more than 17-years of experience teaching at the high school level and is working with the Georgia Department of Education to develop an Artificial Intelligence pathway for high schools in the state. In his free time, he co-founded the technology company…

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Saloni Shah

Saloni Shah is a 3rd year Undergraduate student at Georgia Tech. She is studying Computer Science with threads in People and Intelligence. She is currently working on the Jill Watson project a DILab. Her research interests lie in human-computer interaction and artificial intelligence.

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Jae Ro

Jae is a MS Computer Science student at Georgia Tech (specializing in Interactive Intelligence) currently working on the AI Business Model Canvas Assistant (Errol) project. He is passionate about exploring the potential Artificial Intelligence and Machine Learning have on transforming industries and augmenting human capabilities. Accordingly, his research interests lie…

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Aditi Dutta

Aditi Dutta is a Computer Science Masters student at Georgia Tech graduating in December 2020. She is the current lead developer on the Jill Watson project team at DILab focused on conducting research and development of an artificially intelligent agent that performs the role of a virtual teaching assistant on…

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Preethi Sethumadhavan

Preethi is a master’s student in Computer Science (specializing in Machine Learning) at Georgia Tech. She recently joined DILAB and is currently working on Quantitative modelling in the VERA project. Her primary interests include Knowledge Based AI, Machine Learning and NLP.

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Shan Jing

Shan is a researcher on the Jill Watson project. As a member of the JW team, she is studying human-AI interaction in learning context and how AI technology can serve a better role and co-evolve in this ecosystem. Currently, Shan is pursuing a Master’s degree in Computer Science (specializing in…

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