BioNova Health Research LLC is a science-driven organization founded by experts in infectious disease, immunology, molecular virology, and bioinformatics — integrating multi-omics, AI-enabled analytics, and translational research to move science forward.
We integrate transcriptomics, multi-omics, machine learning, and AI-enabled analytics to uncover biological mechanisms, identify actionable targets, and support biomarker-driven discovery and clinical development.
Accelerate end-to-end discovery and translational research support. Integrating multi-omics and pathway analysis to identify and validate disease-relevant targets and discover biomarkers.
Design integrated preclinical and clinical development support. Including study and protocol design, mechanistic and safety analysis, and translational strategy development.
Uncover disease mechanisms through advanced statistical, bioinformatics, and AI-driven analytics. Integrating multi-omics and systems biology approaches to enable predictive modeling.
Visualize complex data through publication-ready figures, visual analytics, and concise data summaries. Facilitating interpretation and supporting data-driven decision-making.
Strengthen manuscripts and grant submissions with analytical and scientific support. Including figure development, methods writing, and data interpretation.
Shape research direction through landscape analysis and evidence alignment. Guiding funding strategies, prioritizing pipelines, and strengthening translational impact.
BioNova Health Research LLC is a science-driven organization founded by experts in infectious disease, immunology, molecular virology, and bioinformatics. We bring in-depth expertise in genomics and multi-omics research, supported by rigorous statistical analysis and advanced computational approaches.
Our team has collective experience as scientists within U.S. federal agencies and leading academic institutions, providing a strong foundation in rigorous study design, translational research, data quality standards, and data reporting.
We integrate transcriptomics, multi-omics, machine learning, and AI-enabled analytics to uncover biological mechanisms, identify actionable targets, and support biomarker-driven discovery and clinical development. Through close collaboration with biotech and academic partners, we transform complex data into meaningful biological insight.
Our leadership brings decades of experience spanning clinical medicine, doctoral and STEM research training, and computational biology across academic institutions, federal research agencies, and the philanthropic and community private sector.
Dr. Goodenow is a virologist and immunologist with over three decades of research experience in HIV-1 molecular biology, viral evolution, and host-pathogen interactions. She has held senior leadership positions at the National Institutes of Health, including as Chief of the Molecular HIV Host Interactions Section at NIAID. Her work spans HIV-1 genetics, antiretroviral therapy outcomes in pediatric populations, macrophage biology, and next-generation sequencing approaches for viral analysis. With more than 120 peer-reviewed publications, she brings deep expertise in translational HIV research and federal science policy to BioNova.
Dr. Yin is a physician-scientist with expertise in immunology, virology, genomics, and bioinformatics, with a focus on multi-omics integration, biomarker discovery, and pediatric immune development. Over more than two decades at the National Institutes of Health and the University of Florida, she has led multidisciplinary research spanning host-pathogen interactions, immune repertoire analysis, and next-generation sequencing. Her work integrates molecular biology with computational approaches to advance translational research in infectious diseases and immunology.
Dr. Borkar is a biomedical data scientist with expertise in multi-modal transcriptomics, plasma biomarker profiling, and statistical genomics, with a focus on immune regulation in HIV and translational research.
Ms. Nepal is a bioinformatician with expertise in architecting scalable pipelines and implementing machine learning models to analyze complex biomedical data to accelerate therapeutic innovation and novel discoveries.
Peer-reviewed research from our team spanning HIV immunology, multi-omics, and translational science.
We collaborate with world-class academic and industry partners to advance science.
Get in touch with our team or connect with us on LinkedIn.
