Jennifer Jordache

Jennifer Jordache is currently a graduate student in computer science at Georgia Tech, specializing in Interactive Intelligence. She holds a Bachelor of Commerce from the University of British Columbia and started her career on the trading floor at Bank of America Merrill Lynch, followed by a few years in quantitative finance at an investment firm in Vancouver, Canada where she is based. Jennifer is passionate about applications of technology for social good and is particularly interested in how artificial intelligence can enhance the educational experience. You can find her website here: https://jenniferjordache.me/ 

Jisu Kim

Jisu Kim is a highly motivated master’s student at GT Interactive Computing, currently advised by Ashok Goel and previously by Juho Kim (KAIST). Her research interests are at the intersection of Human-Computer Interaction (HCI) and Artificial Intelligence (AI), with a goal to develop impactful and responsible AI solutions that improve human-AI interactions and benefit all humanity. She holds a solid academic foundation with a double major of Computer Science and Business Technology Management, specializing in AI, and hands-on experience as a machine learning intern at Samsung. She is applying for Ph.D. programs for Fall 2025.

Research Interests: Human-Computer Interaction, Artificial Intelligence, Human-AI Interaction, Data-driven Interaction, Human-Centered AI

Yongkang Zhao

Aiden Zhao is actively pursuing a Master of Science in Computer Science, specializing in Machine Learning, at the Georgia Institute of Technology. His academic pursuits are seamlessly integrated with his role as a Research Assistant, where he leads initiatives to redefine educational experiences through technology. Aiden’s primary project, the enhancement of “Jill Watson,” a chatbot designed to support adult learning, leverages the power of advanced Large Language Models, including GPT-4 and GPT-4 Vision, along with Retrieval-Augmented Generation (RAG) and VectorDB for dynamic content generation and information retrieval. This work underscores his expertise in Natural Language Processing (NLP) and his innovative use of AI to foster interactive and personalized educational environments.

While attending Georgia Tech, Aiden contributed significantly to Megagon Labs as a Research Engineer, where he excelled in developing agent-based task management frameworks and enhancing model development for complex data set generation and information extraction using Large Language Models (LLMs) such as GPT, LLAMA, MIXTRAL, and GEMMA. His work involved advancing pretraining and fine-tuning scripts, boosting training efficiency, and integrating AWS for infrastructure security and scalability. These experiences have not only honed Aiden’s expertise in NLP and machine learning but also underscored his ability to innovate and collaborate across diverse projects.

Aiden’s educational foundation in Economics from the University of California, Davis, coupled with his ongoing pursuit of a Master’s degree, reflects a broad and impactful skill set in technology and data analysis. His professional and academic paths are a testament to his drive for continuous learning and his dedication to leveraging technology for educational and societal benefit.

Shashank Verma

Shashank Verma is working on a Master’s in Computer Science with specialization in Machine Learning at Georgia Tech. He did his bachelor’s in Computer Science in India and works at Google. Shashank is a Graduate Research Assistant for the Ivy project and his research focuses on adaptive and interactive learning in Education AI.

Research interests: AI in education, AI in medical diagnosis