My name is Ming Creekmore. I grew up in Farmington, New Mexico, then
moved to The Woodlands, Texas in 2017. I have a huge interest in biology, math,
and computer science. I also enjoy gaming and watching anime. I aspire to one day
write a fantasy book that will make people cry.
I am now a third-year at Rochester Institute of Technology (RIT).
I am double majoring in Computer Science and Chinese, as well as working towards a minor
in Bioinformatics. In the Summer of 2023, I worked in the Data Pattern Recognition Lab (DPRL)
at RIT to improve the performance and accuracy of ChemScraper.
Currently, I work as a Student Lab Instructor for Computer Science.
I am also a part of Women in Computing Outreach Committee (WiC), as well as Tora-Con.
WiC is a club that fosters a community of gender minorities in Computing fields. Outreach, specifically, is the part of WiC that focuses on introducing technology to young girls. In Outreach, we plan programs that invite young girls of different ages to learn about technology.
Tora-Con is an anime convention that is hosted at RIT every year and is run by students. I am the Operations Director. My team and I work with RIT and other Tora-Con departments to create room layouts, line layouts, tech crew layouts and sign layouts. We also handle all volunteer matters and food requirements for the convention.
The DPRL is one of the research labs at RIT. This lab researches new computer programming techniques and strategies that recognize patterns in a variety of documents. These include both conventional and machine learning methods. These techniques are used to search and extract information from tens of thousands of documents. ChemScraper is a program that extracts chemical molecule drawing information from a PDF and predicts the molecule's SMILE string. It also produces a CDXML document that can be used to edit the recognized molecule. During my internship, I simplified the chemical data parser and introduced new geometric techniques to improve the speed and accuracy of the program.