جستجوی استاد راهنمای دانشگاهی

• Epigenetics
• Genome Biology
• Embryonic Development
• +۷ مورد دیگر

Zachary Smith is an Assistant Professor (Adjunct) in the Department of Genetics at Yale School of Medicine, with additional affiliations at the Yale Stem Cell Center, Center for RNA Science and Medicine, and the Genomics, Genetics, and Epigenetics program. His research focuses on epigenetic regulation during mammalian development. Dr. Smith received his B.S. in Biology from M.I.T. in 2008 and his Ph.D. in Biology from Harvard University in 2019. His doctoral work focused on applying cutting-edge genomic technologies to understand chromatin dynamics during mammalian development. He joined the Yale Stem Cell Center and Department of Genetics as an Assistant Professor in September 2020. Dr. Smith's research program investigates three critical developmental processes: fertilization, implantation, and gastrulation. His lab seeks to understand how the genome is reconstructed after fertilization, how distinct epigenetic states are established in embryonic versus extraembryonic lineages, and how chromatin regulators orchestrate the complex process of gastrulation. They employ advanced genomic techniques including single-cell sequencing, Cas9-mediated genome editing, and novel molecular recording technologies. His recent publications highlight significant contributions to understanding DNA methylation dynamics in development and disease, X-chromosome biology, and the development of innovative genomic technologies. Dr. Smith's work bridges fundamental developmental biology with potential applications to understanding developmental disorders and cancer. Epigenetic regulation of mammalian development Chromatin dynamics during embryogenesis DNA methylation reprogramming Single-cell genomic analysis Novel molecular recording technologies Dr. Smith's lab collaborates extensively with researchers at Yale and other institutions, including Michael Caplan, Berna Sozen, and Biff Forbush. His interdisciplinary approach combines expertise in genetics, developmental biology, and technology development to address fundamental questions about how epigenetic mechanisms shape development. Students and postdocs in Dr. Smith's lab have opportunities to work at the forefront of developmental epigenetics, gaining expertise in both experimental and computational approaches to studying genome regulation during development.

• RNA Biology
• Computational Biology
• Hematologic Neoplasms
• +۵ مورد دیگر

Toma Tebaldi is an Assistant Professor Adjunct in the Medical Oncology and Hematology department at Yale School of Medicine and a member of the Yale Cancer Center. His interdisciplinary work bridges computational biology and cancer research, with a focus on RNA mechanisms in hematologic malignancies. Dr. Tebaldi maintains affiliations with multiple research programs including Genomics, Genetics, and Epigenetics, and Internal Medicine at Yale. Dr. Tebaldi's educational background includes a PhD in Information and Communication Technology from the University of Trento (2010), an MSc in Biotechnologies - Bioinformatics from University of Milano Bicocca (2006), and a BSc in Biotechnologies from the same institution (2003). His training includes postdoctoral fellowships at University of Trento, EMBO Short Fellowship at University of Edinburgh, and international internships at Harvard Medical School, University of Edinburgh, and University of Sheffield. His research focuses on RNA molecular mechanisms underlying disease dysregulation, combining experimental and computational approaches. Key areas include alternative splicing, non-coding RNA binding, mutant RNA binding proteins, RNA modifications (epitranscriptome), translation dynamics, and single-cell expression data. This work has significant implications for understanding and treating hematologic cancers. Dr. Tebaldi's publication record shows consistent output in high-impact journals from 2022-2025, with research spanning cancer biology, RNA mechanisms, and computational approaches. His work demonstrates increasing sophistication in integrating single-cell technologies with traditional molecular biology techniques to address complex questions in cancer biology. Italian National Scientific Qualification as Associate Professor in Applied Biology (2021) Italian National Scientific Qualification as Associate Professor in Molecular Biology (2020) Yale YCCEH Pilot and Feasibility Program Award (2018) RNA Society Travel Award: RNA2016, Kyoto (2016) EMBO Travel Grant Award: Protein synthesis and translational control (2015) Dr. Tebaldi serves as Associate Editor for Frontiers in Genetics - Computational Biology and as a reviewer for PRIN 2020 MIUR. His membership in the Yale Center for Biomedical Data Science and Yale Cancer Center provides access to extensive collaborative networks and resources. His research program benefits from interdisciplinary connections between computational biology, cancer genomics, and clinical hematology/oncology. Through his Italian Society of Yale Students and Affiliates board membership and Visiting Professor appointments at University of Trento, Dr. Tebaldi maintains strong international connections that enrich his research program and provide opportunities for student exchanges and collaborative projects across continents.

Susanne Gerberمشاهده پروفایل

استاد

• Bioinformatics
• Clinical Genomics
• Multi-omics Integration
• +۴ مورد دیگر

Prof. Dr. Susanne Gerber is a tenured-track Professor (W2) for Clinical Genomics and Bioinformatics at Johannes Gutenberg University Mainz, where she serves as Deputy Director of the Institute of Human Genetics within the University Medical Center. Her academic journey includes a PhD in Theoretical Biophysics from Humboldt University Berlin (2011), MSc in Bioinformatics from Free University Berlin (2007), and BSc from Free University Berlin/MPI for Molecular Genetics (2004). Before her current role, she was Assistant Professor at JGU Mainz (2016-2020) and postdoc at Università della Svizzera italiana (2011-2015). Her research integrates multi-omics approaches (transcriptomics, proteomics, epigenomics) with machine learning to investigate neurodegeneration, resilience mechanisms, and healthy aging. The lab specializes in: Development of novel bioinformatics algorithms for high-dimensional data analysis Third-generation nanopore sequencing applications SNP-SNP association studies for 3D chromatin modeling Cross-omics biomarker discovery for brain disorders Recent publications demonstrate strong focus on meta-analyses of neurodegenerative diseases, computational method development, and glial-neurovascular interactions. Her group maintains active research in miRNA patterns in Alzheimer's/Parkinson's disease and their microbiome interactions. Prof. Gerber leads the Computational Systems Genomics Group with 11+ members, conducting research at the Biomedical Research Center. Her work bridges computational science with clinical applications in human genetics.