معرفی
Dr. Cesar L. Moreno is a Postdoctoral Research Associate and Dr. John and Anne Chong Genome Editing and Stem Cell Research Fellow at the School of Life and Environmental Sciences, The University of Sydney, with an adjunct appointment as Associate Lecturer at the Kirby Institute, University of New South Wales. His work focuses on developing functional genomic tools for disease modeling using stem cells and mouse models.
Education:
- PhD in Neuroscience from Icahn School of Medicine at Mount Sinai (2015)
- Postdoctoral training at Gandy Lab and New York Stem Cell Foundation (2015-2017)
- Research at UQ-StemCARE Centre, University of Queensland (until 2020)
Dr. Moreno's research centers on CRISPR-based genetic screens in stem cells to investigate diseases like COVID-19 and biological processes including neural development and ageing. He integrates functional genomic and epigenomic approaches to uncover molecular pathways in neurodegenerative disorders, metabolic diseases, and viral pathologies, with emphasis on translating findings into therapeutic strategies.
His 15 most recent publications reveal a strong trajectory in genome editing technologies, stem cell disease modeling, and virology, particularly SARS-CoV-2 research. Key themes include CRISPR screening innovations, Alzheimer's disease mechanisms using iPSC models, metabolic regulation, and neuroinflammation, demonstrating consistent interdisciplinary collaboration.
Scientific Awards:
- Ruth L. Kirschstein National Research Service Awards for Individual Predoctoral Fellows F31 (2011-2015)
- Travel Scholarship for Aging and Diseases of Aging Keystone Symposium, Tokyo, Japan (2012)
Dr. Moreno currently supervises two research students on dementia-related projects and secured a 2022 NHMRC Ideas Grant for the "UNIVERSAL NEUROPHOTONIC INTERFACE" project. He serves as a member of the Charles Perkins Centre and leads four major research initiatives spanning CRISPR barcoding, SARS-CoV-2 pathology, circadian rhythms in brain development, and neurophotonic stem cell models.
