Siyan Wang
Siyan is a first-year graduate student in Yian Yin’s lab. She is working on machine learning approaches to predict the outcome of scientific collaborations, using metrics including citation, novelty, and semantic distance.
Siyan is a first-year graduate student in Yian Yin’s lab. She is working on machine learning approaches to predict the outcome of scientific collaborations, using metrics including citation, novelty, and semantic distance.
Zhenyue is a second-year PhD student in Yin’s lab. He contributed to the collection and cleaning of citation databases, as well as descriptive analysis and modeling of scientific impact.
Rachael is an MS student in Linsey Marr’s lab. She is developing methods to measure virus inactivation in microdroplets.
Sneha Aggarwal is an MS Thesis student in Computer Science at Virginia Tech. She earned her bachelor’s degree in CS from BITS Pilani, India. Sneha is a software engineer with experience in deep learning and large-scale systems. At Google, she launched a Cloud Infrastructure Entitlement Management product from concept to market in under 11 months, building … Read more
Timothy Stocker is a master’s student in the Virginia Tech Department of Computer Science and a molecular virology research technician in the Virginia Tech Department of Biomedical Sciences and Pathobiology. His research interests lie at the intersection of molecular biology, systems biology, and machine learning. Timothy’s current work includes the identification of host-viral protein-protein interactions … Read more
Hong is a Master’s student in Computer Science at Virginia Tech and a Graduate Research Assistant at the Sanghani Center for Artificial Intelligence and Data Analytics. His work focuses on software development, data-driven systems, and user-centered tools that support research and real-world decision-making. He is interested in full-stack development, artificial intelligence, and building practical applications that … Read more
I am a Ph.D student in the Department of Computer Science at Virginia Tech. I am also affiliated with the Sanghani Center for Artificial Intelligence and Data Analytics. My advisor is Prof. Naren Ramakrishnan. My research interests lie broadly in the span of Large Langguage Models, NLP, information retrieval, knolwedge-augmented generation and machine learning. My research goals are leveraging ML … Read more
I’m a Ph.D. student in Information Science at Cornell University, advised by Yian Yin. I hold a bachelor’s and master’s degree from the University of Tsukuba in Japan. My research explores collective behavior and the dynamic interactions between individuals and society, utilizing methods from Network Science, the Science of Science, and Computational Social Science.
Kateland Sipe is a master’s student in Computer Science and Applications at Virginia Tech, advised by Dr. Murali. She earned two B.S. degrees in Biology and Mathematics with a specialization in Data Science from Bowling Green State University, where she graduated summa cum laude. Prior to graduate school, she worked as a research assistant then … Read more
Amartya is a PhD student in Computer Science at Virginia Tech, specializing in Language Models and multimodal data. During my Master’s, I worked with Vision-Language Models (VLMs) to predict structured Scene Graph relationships without additional fine-tuning. My research focuses on enhancing the reasoning capabilities of Large Language Models (LLMs) and VLMs for various downstream tasks. … Read more