The Center for Statistics and Machine Learning (CSML) has awarded three undergraduate students financial support to help them pursue summer research projects from off-campus locations.
“The COVID-19 pandemic has understandably upended many plans for on-campus undergraduate research this summer. The center has provided three summer awards so that undergraduate students have the opportunity to stay connected and engaged with research this summer,” said Peter J. Ramadge, CSML director. “The center remains committed to supporting undergraduate student research. These experiences bestow valuable skills to our students.”
The students supported by CSML this summer are:
Zhengyue Anna Dong ’20. Her project is titled: “To create a sustainability metric which can guide irrigation decisions.”
Michael Hu ’21. His project is titled: “Constrained Policy Learning with Language.”
Ryan Lee ’21. His project is titled: “What Reviewers See: A Visual Analysis of Conference Papers.”
“We are pleased that students were able to revise their summer research projects to accommodate the restrictions of the COVID-19 pandemic,” said Ramadge. “We look forward to hearing about their research experiences later this summer.”
Every year, CSML welcomes funding proposals from students who want to perform research relevant to statistics and machine learning during the summer under a faculty mentor's oversight.
More information on the summer research award and application process is available at this link.