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University of Michigan School of Information

Anjali Singh standing in front of a lake

Anjali Singh


I am a Ph.D. candidate at UMSI, advised by Dr. Christopher Brooks. My research focuses on the use of human and machine intelligence to improve Data Science (DS) education, in both formal and informal learning settings like MOOCs. Broadly, my work lies at the intersection of Human-Computer Interaction, Data Science and Educational Technology.

Drawing from principles of immediate and personalized feedback, I am developing a human-AI collaborative approach for generating feedback on students' DS programming work. Specifically, I am exploring methods such as program analysis, code clustering, and learnersourcing (learners engaging in pedagogically meaningful crowd work) to automatically detect mistakes from students' code and provide targeted feedback.



Areas of interest

Data Science Education, Human-AI Collaboration

Honors & Awards

Best Paper Award, ACM Learning@Scale 2021


Integrated Master of Technology, Mathematics and Computing, Indian Institute of Technology, Delhi (IIT Delhi).