2023 T35 Recipients
The BDHSC would like to congratulate the 2023 T35 Recipients! Read on to learn more about our eight recipients and their research interests!
Meet Our 2023 Cohort
Katie Bond (She/Her)
University of Denver
I have always had a passion for human health and the impact or prevention of disease. Prior to my PhD I spent a few years working on the development of infectious disease diagnostics. In my current Biophysics program, I utilize computational methods to understand developmental biology. My research interests focus on the intersection of the two disciplines: using computational approaches such as data science or machine learning to understand infectious diseases and their impact on humans as individuals as well as population groups.
Eric Inman (He/Him)
California Polytechnic State University
I am currently a graduate student finishing up a Master’s Degree in Computer Science at Cal Poly SLO. My academic interests include machine learning, deep learning, and their applications in healthcare. When I’m not at the computer, I enjoy baseball, reading, and good barbecue.
Giovanna Leone (She/Her)
University of South Carolina
I am a PhD student in motor development and physical education at the University of South Carolina. I aim to use machine learning and AI to improve health-related outcomes. My other research interests include integrating holistic approaches to assess and improve physical health and performance and reduce obesity.
Giangvuthanh Nguyen (She/Her)
Old Dominion University
I am a Ph.D. student in Applied Mathematics with a B.S in Applied Mathematics, a B.A. in Communication, and a minor in Chinese Studies. In 2022, I earned a Master’s degree in Applied Mathematics and kept pursuing a PhD in the same major. I have been a research assistant and teaching assistant in the Mathematics and Statistics Department at ODU since 2020. My research focuses on analyzing models of complex fluid flows described by partial differential equations in liquid crystal, and I am interested in the bioinformatics subtopic of protein structure prediction, and data science.
Yasmin Keyghobadi Nia (She/Her)
Old Dominion University
I’m first year PhD student in Old Dominion University. I study Applied Mathematics. I’m interested in the role Mathematics plays in data science.
Katheryn (“Kat”) Perea-Schmittle (She/Her)
New Mexico Institute of Mining and Technology
I am a PhD candidate who started in the Biotechnology program in the summer of 2021. Within biology, I specialize in microbial community analysis, molecular biology, genomic and metagenomic analysis.
Angela Tower (She/Her)
Washington State University
I am a PhD student in Applied Mathematics at the University of Washington. I have always had an interest in mathematics but am now inclined to apply mathematical modeling to study and further understand infectious diseases and immunology research to conduct future biomedical research.
Areyona Wilson (She/Her)
University of North Carolina
I graduated from UNC Charlotte with a B.S. in Biology. This past semester, I worked as a SARS-CoV-2 Surveillance Sequencer in a lab on campus in the Bioinformatics department which supported my decision to obtain a master’s in Bioinformatics. The field of study I am interested in is phage therapy, specifically in trying to make it an alternative to antibiotic treatment and decrease the knowledge gap on our information about phages.