Jean Fan
Biomedical Engineering; Center for Computational Biology
Johns Hopkins University
About Professor Jean Fan
Professor Jean Fan serves as an Assistant Professor of Biomedical Engineering in the Center for Computational Biology at Johns Hopkins University, a prestigious institution known for its pioneering contributions to science and technology. The Biomedical Engineering department at Johns Hopkins is renowned for its interdisciplinary approach, combining engineering principles with biological and medical sciences. This environment fosters innovative research that addresses complex biomedical challenges. The Center for Computational Biology enhances this reputation by focusing on computational methods that advance our understanding of biological systems, making it a leading hub for research in the field.
🧬Research Focus
Professor Fan's research delves into the realms of single-cell omics, spatial omics, computational biology, and machine learning, aiming to elucidate the molecular and spatial-contextual factors influencing cellular identity and heterogeneity. Her work integrates high-dimensional biomedical data generated from advanced imaging and sequencing technologies, utilizing open-source software to develop robust machine learning and statistical methods. This research holds significant promise for breakthroughs in understanding disease mechanisms, disease progression, and potential prognostic markers. By uncovering spatial regulatory mechanisms, Professor Fan's contributions are poised to advance the fields of genomics and biomedical data science, ultimately impacting clinical applications and therapeutic strategies.
🎓Student Fit & Career
Graduate students who thrive under Professor Fan’s mentorship are those with a solid foundation in computational biology, bioinformatics, or related fields, alongside a keen interest in machine learning and data analysis. Ideal candidates possess strong analytical skills, a collaborative spirit, and a passion for addressing pressing biomedical questions. Under her guidance, PhD students can expect to engage in cutting-edge research that prepares them for diverse career paths, including academia, industry, and healthcare innovation. The emphasis on academic mentorship and collaborative research in her lab ensures students are well-equipped to contribute to advancements in biomedical engineering and computational biology.
Research Areas
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