Sam Taubman is an MSCS student at Georgia Tech specializing in Computing Systems. Currently, Sam works in the DILab on the SAMI project under Dr. Goel. Sam holds a B.S. in Chemistry from Appalachian State University and worked on oil seep drone air sampling methods under Dr. Swarthout. Sam’s research interests include utilizing AI for improving learning and applying AI to trading. Outside of research Sam enjoys cooking and training jiu-jitsu. LinkedIn: https://www.linkedin.com/in/samtaubman/

Rudra Singh is currently pursuing a master’s degree in Computer Science, specializing in Machine Learning, and has a particular interest in Natural Language Processing systems. Rudra works as a Data Scientist at a fintech company in India and is also involved with the VERA team at DILAB. In his leisure time, he enjoys playing badminton. LinkedIn profile: Rudra Pratap Singh | LinkedIn

Rigved Tummala is a graduate research assistant and current master’s student at Georgia Tech, specializing in Machine Learning. He holds a Bachelor of Science in Computer Science from Rutgers University and has industry experience working as a Full Stack Software Engineer in fintech. Currently, Rigved works in the DILab as a part of the Architecture for Learning (A4L) team. His research interests lie at the intersection of artificial intelligence and education. In his free time, Rigved loves playing volleyball.

Pamin Rangsikunpum is a graduate student in computer science specializing in machine learning, with an interest in natural language processing (NLP), deep learning, and machine learning systems. He is a Graduate Research Assistant in the Design & Intelligence Lab at Georgia Institute of Technology. At DI Lab, he works with the VERA team on the Virtual Ecological Research Assistant project. Learn more here: https://www.linkedin.com/in/paminrangsikunpum/

Lingqing Wang is a first year HCC PhD student advised by Prof. Ashok Goel.

Karan is a Ph.D. student in Computer Science at Georgia Tech, currently working on the Jill Watson project. He is broadly interested in developing AI tools for scaling quality education. His research interest includes machine teaching, natural language processing, and conversational systems.

https://krntneja.github.io/

John Kos is a second year PhD here at the Designing Intelligence Lab. Before starting his PhD, he completed an undergraduate in Computer Science at University of Maryland College Park and a Masters through Georgia Tech’s OMSCS program. His current research is focused around building a holistic understanding of andragogy and figuring out the unique challenges that come with teaching people to solve open ended problems.  In his free time John likes reading sci-fi and doing amateur game design.