Irmak is an international student from Turkey doing a CS and math double major at Pomona.  She wanted to learn more about machine learning and thought that studying problems in music would be a fun way to develop mastery.  She took the Music Stems class (E207) in spring 2022 while also doing independent research in the lab, and then stayed on for the summer research college.  During that time, she has co-authored two conference papers: one on the topic of generating music in the form of sheet music images, and the other on the topic of detecting malicious tampering of speech recordings.  She will be pursuing a Ph.D. in machine learning at CMU after graduation.

Mengyi joined the lab as a sophomore with a strong background in math and a desire to gain more practical skills in machine learning.  She learned the ropes working on several team projects, but wanted deeper mastery and ownership of a research project.  In her junior year, she led the development of a system that generates piano score following videos given the sheet music images and audio.  During her time in the lab, she co-authored 5 peer-reviewed papers and articles.  In parallel with the work in our lab, she won the Chavin Prize in 2020 for the best thesis in mathematical science at HMC.  She is now pursuing her Ph.D. studies in computer vision at the University of Washington.

Chris was one of the inaugural members of the MIR lab.  When he first joined, he didn't know what he wanted to do because he was interested in too many things!  (We certainly don't expect undergrads to know exactly what they want to do with their life!)  The lab gave him an opportunity to learn more about signal processing and machine learning, clarify his own goals and interests, and gain practical skills training models on a supercomputing cluster.  After graduation, he did a master's at Stanford and is now pursuing a Ph.D. in machine learning at UC Berkeley.