Program Role: 2025 Cohort

  • Aniruddhan Ganesaraman

    I’m Ani, a 2nd year PhD student in the Department of Statistics and Operations Research at The University of North Carolina at Chapel Hill. I am fortune to be advised by Prof. Patrick Lopatto and Prof. Michael Kosorok. My research interests include precision medicine, causal inference, and adaptive policy learning.

  • Shomari Johnson

    My career vision is centered at the intersection of computational science, biotechnology innovation, artificial intelligence, and national security analysis. As a PhD candidate in Computational Data-Enabled Science and Engineering, my long-term objective is to contribute to the advancement of intelligent scientific systems capable of addressing some of the world’s most complex biological, technological, and societal…

  • Nathaniel Helwig

    My academic background is rooted in understanding human attitudes, thoughts, and behaviors through the lens of rigorous mathematical modeling. As an undergraduate student at the University of Miami, I studied Psychology (major) and Mathematics (minor). As a graduate student at the University of Illinois at Urbana-Champaign, I earned two master’s degrees (Psychology and Statistics) and…

  • Koloud Alkhamaiseh

    I am an Assistant Professor of Computer Science at Michigan Technological University with an interdisciplinary background in computer engineering, artificial intelligence, and applied computing. I earned my B.S. in Computer Engineering from Mutah University, my M.S. in Computer Engineering from Jordan University of Science and Technology, and my Ph.D. in Electrical and Computer Engineering from…

  • Angelina Sharak

    I am a trained quantitative biologist and statistician with experience spanning cancer research, vaccine development, and projects focused on improving patient care in collaboration with healthcare providers. In cancer research, I worked with complex genomic and clinical datasets where precision and reproducibility were paramount. In vaccine development, I contributed to studies requiring rigorous statistical design…

  • Trenton Davis

    I am a bioanalytical chemist and research scientist at Arizona State University and the Biodesign Institute utilizing analytical chemistry, microbiology, and statistical techniques to leverage breath-based volatile compounds as biomarkers of human health and disease. Much of my work centers on developing breath biomarkers of lung infections. I am also interested in exploring novel strategies…

  • Yaroslav Balytskyi

    Ph.D. in Applied Physics (2023), doing Physics-informed Machine Learning.

  • Xingmeng Zhao

    I am a postdoctoral fellow in biomedical informatics at the University of Colorado Anschutz Medical Campus. My research focuses on responsible AI in healthcare, clinical natural language processing, and human–AI collaboration. I am especially interested in developing ethical and transparent AI systems that can support clinical decision-making, reduce bias, and improve patient care. My work…

  • Bryan Fowler

    I am a neuroscientist and an assistant professor of instruction. I teach courses on neuropsychopharmacology, brain diseases, and a more general survey course. My interests are in improving the educational process and student engagement with information. The science shows that increased engagement leads to increased retention. I am also very interested in how generative AI…

  • Gregory Buck

    I am an Associate Professor of Biology and Biomedical Sciences at Texas A&M University-Corpus Christi (TAMU-CC). I currently serve as Biomedical Sciences Program Coordinator, where I manage faculty and over 400 undergraduates of the nearly 1100 students within Life Sciences. My research projects have involved the training of 96 undergraduate students and co-chairing 13 completed…