Lisa Jin

Lisa Jin is a dedicated PhD student at the University of Rochester, specializing in natural language processing with a focus on text generation from semantic graphs and semantic parsing.

Her research interests encompass various areas including dialogue utterance rewriting, applying algorithms to capture graph path information, and clustering graph vertices into tree decompositions for better encoding of global graph structure.

Lisa's current academic pursuit involves graph-to-text generation, particularly centered around summarizing semantic graph structures. Her upcoming thesis will delve into this subject, showcasing her expertise and innovation in the field.

In terms of education, Lisa Jin holds a Bachelor's degree in Computer Science from the University of Michigan and is currently pursuing her Doctor of Philosophy (PhD) at the University of Rochester.

Throughout her academic journey and research endeavors, Lisa has gained valuable experience working in different organizations such as the University of Rochester as a Research Assistant, Tencent America as a Research Intern, Lawrence Livermore National Laboratory as a Data Science Intern, and Korea Institute of Science and Technology as a Research Intern.

Furthermore, Lisa has also held roles as an Instructional Aide at the University of Michigan College of Engineering, Software Consultant Intern at Vodori, Programmer Analyst at Integrative Systems + Design, Research Assistant at BioSocial Methods Collaborative, and Laboratory Assistant at University of Michigan Medical School.

With a diverse background across academia and professional experiences, Lisa Jin is well-equipped with the skills, knowledge, and determination to make significant contributions to the field of natural language processing and semantic graph analysis.