Yebai Guo is currently pursuing a Master’s degree in Computer Science at Georgia Tech, specializing in computer systems. Before starting the program, Yebai was a credentialed actuary working in the life insurance industry. Yebai is now part of the DILab, working on the Architecture for Learning (A4L) team.

Terry Junsoo Park is a current graduate student at Georgia Tech, studying computer science, specializing in machine learning. He has industry experience as a data analyst for the Canadian federal government. His research interests lie in the intersection of artificial intelligence, cognition, and medicine. He is now working in the DILab as part of the Architecture for Learning (A4L) team.

Learn more about Terry here: https://www.linkedin.com/in/parkjsdev/

Harshavardhan is software engineer with work experience of 4 years and has worked in multiple big tech companies with experience in highly scalable systems handling over 100 million users.

Nicholas Alico is a M.S. student in Computer Science at Georgia Tech, where he is currently
pursuing a Specialization in Machine Learning. Prior to matriculating to Georgia Tech, Nick
graduated from Penn State University and the Schreyer Honors College with a B.S. in
Human-Centered Design and Development with a Focus in HCI. Nick aspires to act as a liaison
across the fields of engineering, UX, and healthcare by addressing challenging problems in a
user-centric manner through research, design, and engineering.

Within the Design Intelligence Lab, Nick conducts research with the VERA team. His prior research experience lies at the intersection of Software Engineering, UX, and HCI, where he conducted research and completed his honors thesis investigating competency-based learning within UX and engineering curriculum led by Dr. Steve Haynes. Outside of GT, Nick currently works as a UX Engineer at Charles River Analytics in Cambridge, MA. Here, he researches, designs, and develops cutting-edge Human-AI applications for research programs in the healthcare, defense, and technology industries.

Nick also enjoys running, traveling, and watching baseball in his free time. To learn more and connect with Nick, please visit his website: https://www.nickalico.me

Ruhma Mehek Khan is a graduate student in Computer Science at the Georgia Institute of Technology. She holds a bachelor’s degree in Computer Science and Social Sciences. Before pursuing her master’s, Ruhma worked as a Research Fellow at Microsoft and previously as a Software Developer at Adobe. She is passionate about conducting research that has a tangible impact, utilizing her computer science skills to solve everyday problems that affect large populations.

Ruhma is actively involved in community-building, having led several mentorship and networking initiatives. Her contributions have been recognized with the Adobe Women in Technology (WiT) Scholarship and the Grace Hopper Celebration (GHC) Student Scholarship. In addition to her technical interests, Ruhma has a strong passion for Psychology and Economics. In her free time, she enjoys reading and taking walks in nature.

Mahimul Islam is a full stack engineer at Genome Medical Inc. and a current MS student in Computer Science at Georgia Tech. His journey in tech began after completing a bachelor’s degree in Bangladesh, and in 2021, he moved to the US to further pursue his passion.

Artificial intelligence has always fascinated Mahimul, and he’s deeply committed to exploring its potential to transform the way we interact with technology. Mahimul believes that AI can not only augment our capabilities but also open up new avenues for human creativity and problem-solving. Through his work and studies, Mahimul is focused on developing innovative solutions that bridge the gap between technology and human experience.

He loves soccer and cricket.

Feel free to connect with Mahimul through LinkedIn: https://www.linkedin.com/in/mahimulislam

Jake Finnegan is a graduate research assistant and student at Georgia Tech, specializing in Interactive Intelligence. He holds a Bachelor of Science in Business Information Technology from Virginia Tech and a Master of Science in Business Analytics from William & Mary. Outside of DILab, he works as an AI/ML engineer, supporting the US Navy and other DoD agencies with data and analytics solutions. Jake’s research interests include unsupervised learning, natural language processing, and predictive analysis.

LinkedIn: www.linkedin.com/in/jake-finnegan