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

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/

Manuel Preston is a graduate student pursuing his Master’s in Computer Science with a focus on machine learning. He holds a Bachelor’s degree in Mechanical Engineering from the University of Colorado Boulder. Currently, Manuel serves as a graduate research assistant at DiLab, where he explores the integration of AI into modern applications with online students. With a background in designing and manufacturing optical systems and software for satellites, Manuel combines his technical expertise with innovative research to assist in the advancement of applying AI.