Rose is PhD student at Stanford University’s Computer Science Department. She works on natural language processing (NLP) and education, like understanding the mechanisms of effective human teaching/learning and developing NLP models with those insights. Previously, she completed her undergraduate at MIT, working with Prof. Josh Tenenbaum, Prof. Jonathan How, Google Brain and Google Brain Robotics.

Mei is a 1st year PhD student studying learning sciences and technology design. Her research leverages AI/NLP to develop tools that measure and support instructional practice. She values working in direct partnership with both school districts and edtech companies. Mei is a former software engineer at Microsoft Education and volunteer high school computer science teacher. Outside of work, she is an overambitious home cook and enjoys hikes with her dogs.

Deepak is a recent graduate from the Learning Design and Technology program at the Stanford Graduate School Of Education. Prior to Stanford, Deepak worked in the social impact space in India where he worked with local communities and civil societies to develop technological solutions. He is currently interested in exploring how AI/NLP applications could be leveraged to promote quality education for all. Outside work, Deepak is an avid maker and also enjoys playing.

Ashlee is a senior at Stanford studying Computer Science with a concentration in Artificial Intelligence and a minor in Ethics & Technology. She is a passionate Section Leader for the introductory CS classes at Stanford, and is working to develop NLP models that can give instructors feedback on their teaching.

Chris is a 3rd year PhD student researching teacher education, learning technologies, and writing. His current projects explore how teachers can use generative AI to support students' literacy development. Chris is a former high school English teacher. Before becoming an educator, he worked in digital marketing at Google and other tech companies. Outside of work, he is a recovering marathoner and a regular on the local playground circuit with his son, Miles.

Jim is a 5th year PhD candidate studying Race, Inequality, and Language in Math Education. He uses Interaction Analysis to better understand the teaching, learning, and doing of mathematics. He is a former middle school teacher and likes to play soccer.

Dorna is a second-year master’s student in the Education Data Science program at Stanford. Her research focuses on equipping students and teachers with data analysis and natural language processing tools, and elevating data literacy in classrooms. Prior to Stanford, Dorna was a high school math teacher. Dorna loves yoga, markets, making ridiculously specific playlists, and chasing her cat, Salvadore. She dedicates her work to the students of KHHS and WHS in Houston, Texas

Joy is a senior/coterm at Stanford studying Computer Science with a concentration in Artificial Intelligence. She is exploring how NLP techniques can be leveraged to provide novice tutors with personalized feedback about their instructional practices. She is a Section Leader for the introductory CS classes at Stanford, and now a retired D1-fencer and amateur film maker.

Deveshi is a coterm student in computer science at Stanford. She studies computational applications across disciplines, including extreme weather, galaxy formation, and classroom discourse. In EduNLP, her current focus is to build a measure for idea attribution between teachers and students.