Two students from The University of Tulsa have been awarded Graduate Research Fellowships from the National Science Foundation. TU’s 2019 recipients are Jordan Sosa, a physics senior from Florissant, Missouri, and Benjamin James, a computer science senior, from St. Louis, Missouri.
The NSF Graduate Research Fellowship Program recognizes and supports outstanding graduate students in the science, technology, engineering and mathematics disciplines who are pursuing research-based master’s and doctoral degrees at accredited institutions in the United States. Fellows receive a three-year annual stipend of $34,000 along with a $12,000 education allowance for tuition and fees. Other benefits include opportunities for international research and professional development and the option to conduct research at any accredited U.S. institution of graduate education.
Sosa currently focuses on materials research and metallic materials as a student in the TU Department of Mechanical Engineering. As a TU undergraduate, Sosa has received valuable experience in physics, materials science and engineering as a visiting researcher at West Virginia University, Oklahoma State University-Tulsa and the University of Wisconsin-Madison. In addition to his academic and research agenda, Sosa has served in leadership roles for TU’s Society of Hispanic Professional Engineers and the Society of Physics Students, attended the National Institute for Leadership Advancement and helped host a Noche de Ciencias, or “Night of Sciences” community event that invited local public school children to learn about STEM degrees.
“These experiences have instilled a stronger desire in me to pursue a higher degree so I can develop a stronger understanding of STEM and provide others with access to that education,” he said.
He plans to earn a Ph.D. degree from Harvard University in materials science and engineering in research fields of energy storage and eventually work in a laboratory or the research and development department of a materials technology company.
James has performed research in the bioinformatics subfield computational genomics, which emphasizes the use of computational and statistical techniques such as algorithms and machine learning/artificial intelligence to solve biological problems.
“At TU, under the mentorship of Dr. Hani Girgis, I created intelligent and adaptive software systems to compare and cluster nucleotide sequences, especially long, genome-length sequences, as a method of in silico data analysis for computational biologists,” James said.
The clustering algorithm currently is used by biologists in multiple pipelines, including groups of third-generation sequencing reads and grouping of microbial communities. James plans to attend graduate school at MIT and work independently on bioinformatics research projects that can have a positive impact on society.