This proposal requests expanded support for a pioneering predoctoral training program in systems biology. The Harvard Ph.D. Program in Systems Biology attracts unusually adventurous and analytically confident graduate students, with a demonstrated determination to cross disciplines. Our central goal is to help these students identify biological questions to which an interdisciplinary approach can provide uniquely satisfying answers, and to prepare them to identify and address such questions independently in their future careers. The Program draws on the intellectual and practical resources of the entire Harvard scientific community to help students develop a broad, rigorous and creative approach to solving challenging problems in biology and medicine. A two-part Preliminary Qualifying Exam is central to our approach. Part 1 requires the student to propose a quantitative, computational, or theoretical approach to solving a biological problem. This tests the student's ability to conceive, articulate, and exercise quantitative and theoretical ideas and methods as applied to questions in biology. This section of the exam demands creativity and thoughtful analysis of what theory and computation can offer, as well as general knowledge about biology. Part 2 evaluates the student's plan for dissertation research and understanding of experimental logic and methods. Our students enter the Program with a wide variety of backgrounds. Students may take any of a range of science courses offered by Harvard or MIT (through cross-registration). The first year student faculty advisors work with entering students individually to help them determine which courses will best complement their existing training, and to help them to identify potential rotation labs. Five courses on different aspects of systems biology are offered by Program faculty. In addition all students are required to take a course on communication that culminates in writing a fellowship proposal, and a course on biomedical research ethics. Our program aims to educate students in the current state of the art in systems biology, and to encourage them to reach higher, expanding the use of systems biology approaches in biology and medicine. Our students have published many high-quality papers on systems ranging from bacterial pathogens to humans. An average student graduating from the program will have published 3.5 papers, of which 2 are first-author papers. We believe that the students we attract and the mentoring that we give them are both outstanding, and that we have the ability to recruit additional exciting students into the Program who could benefit greatly from the opportunities we can offer them. We are therefore requesting an increase from 6 training slots to 8 for this funding cycle. Students will be funded in their first and second year of graduae studies.
Systems biology is a new field that uses the tools of quantitative disciplines such as mathematics, computer science and physics to provide insight into complex biological and medical problems. Our Program brings together students and faculty from a wide range of disciplines to create a unique cross-Harvard community and an outstanding training experience.
Wagner, Daniel E; Weinreb, Caleb; Collins, Zach M et al. (2018) Single-cell mapping of gene expression landscapes and lineage in the zebrafish embryo. Science 360:981-987 |
Van Egeren, Debra; Madsen, Thomas; Michor, Franziska (2018) Fitness variation in isogenic populations leads to a novel evolutionary mechanism for crossing fitness valleys. Commun Biol 1:151 |
Rodriguez-Fraticelli, Alejo E; Wolock, Samuel L; Weinreb, Caleb S et al. (2018) Clonal analysis of lineage fate in native haematopoiesis. Nature 553:212-216 |
Weinreb, Caleb; Wolock, Samuel; Klein, Allon M (2018) SPRING: a kinetic interface for visualizing high dimensional single-cell expression data. Bioinformatics 34:1246-1248 |
Kuo, James; Stirling, Finn; Lau, Yu Heng et al. (2018) Synthetic genome recoding: new genetic codes for new features. Curr Genet 64:327-333 |
Tusi, Betsabeh Khoramian; Wolock, Samuel L; Weinreb, Caleb et al. (2018) Population snapshots predict early haematopoietic and erythroid hierarchies. Nature 555:54-60 |
Weinreb, Caleb; Wolock, Samuel; Tusi, Betsabeh K et al. (2018) Fundamental limits on dynamic inference from single-cell snapshots. Proc Natl Acad Sci U S A 115:E2467-E2476 |
Briggs, James A; Weinreb, Caleb; Wagner, Daniel E et al. (2018) The dynamics of gene expression in vertebrate embryogenesis at single-cell resolution. Science 360: |
Baron, Maayan; Veres, Adrian; Wolock, Samuel L et al. (2016) A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure. Cell Syst 3:346-360.e4 |
Jajoo, Rishi; Jung, Yoonseok; Huh, Dann et al. (2016) Accurate concentration control of mitochondria and nucleoids. Science 351:169-72 |
Showing the most recent 10 out of 31 publications