# Bio (short)

Conrad Borchers is a PhD candidate in the Human-Computer Interaction Institute 
at Carnegie Mellon University's School of Computer Science, co-advised by 
Vincent Aleven and Ken Koedinger. His research advances intelligent systems 
that promote learner persistence, assessment, and educational outcomes through 
human-centered design and learning analytics. His adaptive goal-support systems 
are deployed in partnership with teachers and schools, reaching nearly 1,500 
middle school students. He also develops novel methods for analyzing learner 
regulation through conversational interactions and trait modeling. Conrad holds 
an MSc in Social Data Science from the University of Oxford and a BSc in 
Psychology from the University of Tübingen.

# Bio (long)

Conrad Borchers is a PhD candidate in the Human-Computer Interaction Institute 
at Carnegie Mellon University’s School of Computer Science, co-advised by 
Vincent Aleven and Ken Koedinger. His research advances intelligent systems that 
support learner persistence, assessment, and educational outcomes through 
human-centered design and learning analytics. He develops adaptive goal-support 
systems deployed in partnership with teachers and schools, reaching nearly 1,500 
middle school students. He also develops novel methods for modeling self-regulated 
learning through conversational interaction analysis and learner trait modeling. 
His work spans AI-supported self-regulated learning in middle and high school 
and data-informed course selection in higher education, using machine learning, data 
mining, and natural language processing to enable scalable educational interventions.

His research has been published in Computers & Education, Journal of The Royal Society 
Interface, The Internet and Higher Education, and the ACM Learning@Scale and Learning 
Analytics and Knowledge Conference. His work has received multiple accolades, including 
five best paper awards and a Siebel Scholarship. He is a contributing author to the 
OECD Digital Education Outlook, and his research has been funded by Digital Promise.

Borchers holds an MSc in Social Data Science from the University of Oxford, 
where his thesis earned the OII Thesis Prize for Best MSc Dissertation, and a 
BSc in Psychology from the University of Tübingen, Germany. He has also worked 
as a research intern at the University of California, Berkeley, where he 
studied data-driven course workload estimations using LMS records and higher 
education enrollment data under Zachary Pardos.