معرفی
Tomer Stern, Ph.D., is an Assistant Professor in the Department of Biologic and Materials Sciences & Prosthodontics at the University of Michigan School of Dentistry. He holds affiliate faculty positions in the Center for Computational Medicine and Bioinformatics and the Department of Biomedical Engineering. His research focuses on cellular and developmental mechanisms underlying skeletal morphogenesis and tissue engineering, combining experimental approaches with computational modeling.
- Education:
- B.Sc. in Computer Science and Bioinformatics, Academic College of Tel Aviv-Yaffo (2004-2007)
- M.Sc. and Ph.D. in Computational Biology, Weizmann Institute of Science, Israel (2007-2015)
- Postdoctoral Research at Princeton University (with Eric Wieschaus and Stanislav Shvartsman)
Research Interests: Dr. Stern investigates morphogenesis in mouse skeletal systems and fruit fly embryos, using advanced microscopy and machine learning. Key areas include cellular dynamics during gastrulation, bone development, and genetic influences on skeletal disorders. His lab develops algorithms to analyze high-resolution biological data, such as lineage tracing in embryos.
Publications Trends: Recent work emphasizes biomechanical regulation of bone growth, computational analysis of embryonic cell behavior, and the role of proprioceptive systems in spinal alignment. His studies bridge computational biology with experimental embryology, yielding insights into developmental disorders like scoliosis.
- Awards:
- EMBO Long-Term Fellowship
- Hammer Scholarship (Israeli Ministry of Education)
Advising & Labs: Dr. Stern mentors a multidisciplinary team of graduate students and postdocs, focusing on computational and experimental approaches. His lab, Stern Lab, is part of the School of Dentistry and collaborates across disciplines. Alumni include researchers like Kristina Zheng and Alan Kay.
Future Work: Ongoing projects include developing single-cell lineage mapping tools for fruit fly embryos and investigating metabolic influences on developmental timing. The lab also explores clinical applications of skeletal regeneration algorithms.
