A paper by Jaymin Ding ’25 was recently published by the Journal of Research High School (JRHS). Entitled Performing Spectroscopic Parallax via Machine Learning Classification of Stars in the Morgan-Keenan System to Efficiently Calculate the Distance to Stars, the paper was developed from an independent study that Jaymin completed with Dr. Mary Krasovec during the 2023-24 school year. The paper develops a novel machine learning method that finds the distance to a star based solely on a photograph.
This is Jaymin’s fourth publication to date. In the summer of 2023, he teamed up with two co-authors, Pradyota Phaneesh and Abhiram Atluri, at the UT Austin High School Research Academy (HSRA) to write a paper titled Mass-to-Luminosity Ratio and Its Correlation to the Dark Matter Distribution Across Different Galaxy Types. The paper, which explores dark matter, was published in the spring 2024 issue of the Scholarly Review Journal.
In November 2024, Jaymin’s paper Improved Fermi Gamma-ray Source Classifications with SRG/eROSITA X-ray Counterparts using Machine Learning was accepted to MIT's Undergraduate Research Technology Conference.