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) and am majoring in Computer Science.
In the Summer of 2023, I worked in the Data Pattern Recognition Lab (DPRL)
at RIT to improve the performance and accuracy of ChemScraper. From May-December 2024,
I worked at University of Illinois Urbana-Champaign (UIUC) as part of the Diao Research Group
to contribute to improving materials research discovery in organic photovoltaics.
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.
Although, most of my experience is in machine learning, I would like to change the direction
of my career to be more focused on lower level programming and circuit boards.
I am interested in learning more about embedded engineering and operating systems.
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 was previously the Operations Director and now work as a mentor. In the Operations Department, we 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. Here is a link to the publication.
The Diao Research Group is interested in studying the molecular assembly processes of materials. One of the focus areas of the group is autonomous materials discovery. The goal of the project is to design and code a robot platform that will autonomously develop and test new organic solar cells in a fully closed loop environment. In this project, I have worked on automating parts of the robot as well as creating Bayesian Optimization code. Here is a link to more information.