Research Milestones
With every new week, students improve their projects. With less scheduled programming last week to make room for students to do lab work, code, and write papers, many students have made immense progress in their projects.
Almost all nano students have moved on from bench lab experiments to data analysis and writing their papers. This is thanks to their strong dedication to their research; nano students Mathieu Wang, Timothy Chan, Ray Hu, and Cindy Yao worked on their experiments in the Harvard lab from 5pm to almost midnight on Thursday, Friday, Saturday, and Sunday. We commend them for their hard work!
On Thursday, AI student Tyson Sze met with Dr. Cheng Wang at Massachusetts General Hospital (MGH). They discussed potential data sets for Tyson’s project involving increasing the efficiency of kidney transplant matching with AI. Dr. Wang will refer Tyson to a specialized kidney doctor for further data set discussion.
Nano students continued the series of lectures that will lead them to earn Harvard Summer School CNS-Nanofabrication certifications. On Tuesday, they attended the MEMS Processing and Packaging lecture, and on Friday, they sat in on the Nanofabrication Integration lecture.
Both Monday and Wednesday, the AI students had one-on-one meetings with Dr. Mikhail Shalaginov to work through any challenges they may be facing.
On Friday, AI students gave their weekly progress presentations in front of a student and supervisor audience. Video footage was recorded for students to see their progress in public speaking and improve.
MIT AI & Education Summit Recap
Students attended MIT’s AI & Education Summit from Wednesday to Friday. The summit focused on sharing ideas to introduce AI in the classroom, to maximize learning and manage the growing influence of AI in learning. With expert speakers, comprehensive panels, workshops, and even a hackathon, our students were introduced to an application of AI very relevant to their own lives—in education.
“I liked the exercise where they tried different methods to troubleshoot the code,” commented AI student Sherry Zhang. “I liked the interactive aspect, having that real-life application and actually doing it, and having her show us how those problems are solved was very helpful.” AI student Timothy Chan also added, “Discussing the future and potential of AI was very interesting to me.”
