Curtis Gove Callan, Jr.
Affiliations: | 1972- | Physics | Princeton University, Princeton, NJ |
Area:
Theoretical physics, theoretical problems in cellular biologyWebsite:
https://phy.princeton.edu/people/curtis-callanGoogle:
"Curtis Gove Callan, Jr."Bio:
http://www.nasonline.org/member-directory/members/4688.html
https://history.aip.org/phn/11502011.html
https://link.springer.com/content/pdf/10.1140%2Fepjh%2Fe2016-70034-0.pdf Curtis Callan was most closely associated with Sam Treiman’s research in elementary particle theory, but Dicke proposed and supervised research on his dissertation
https://inspirehep.net/record/1014725?ln=en
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Mean distance: 13.25 | S | N | B | C | P |
Parents
Sign in to add mentor| Robert H. Dicke | grad student | 1964 | Princeton | |
| (Spherically Symmetric Cosmological Models.) | ||||
Children
Sign in to add trainee| Igor R. Klebanov | grad student | 1986 | Princeton |
| Philip C. Argyres | grad student | 1984-1989 | Princeton |
| Lárus Thorlacius | grad student | 1984-1989 | Princeton |
| Ramzi Raja Khuri | grad student | 1991 | Princeton |
| Juan Maldacena | grad student | 1992-1996 | Princeton |
| Vijay Balasubramanian | grad student | 1997 | Princeton |
| Alberto Güijosa | grad student | 1994-1999 | Princeton |
| Konstantin G. Savvidy | grad student | 1994-1999 | Princeton |
| Gasper Tkacik | grad student | 2002-2007 | Princeton (Neurotree) |
| Justin Kinney | grad student | 2002-2008 | Princeton |
| Anand Murugan | grad student | 2012 | Princeton |
Collaborators
Sign in to add collaborator| Darrell D. E. Long | collaborator | (Computer Science Tree) | |
| William Bialek | collaborator | 1995- | Princeton |
BETA: Related publications
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Publications
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| Sethna Z, Elhanati Y, Callan CG, et al. (2019) OLGA: fast computation of generation probabilities of B- and T-cell receptor amino acid sequences and motifs. Bioinformatics (Oxford, England) |
| Elhanati Y, Sethna Z, Callan CG, et al. (2018) Predicting the spectrum of TCR repertoire sharing with a data-driven model of recombination. Immunological Reviews. 284: 167-179 |
| Elhanati Y, Sethna Z, Marcou Q, et al. (2015) Inferring processes underlying B-cell repertoire diversity. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 370 |
| Elhanati Y, Murugan A, Callan CG, et al. (2014) Quantifying selection in immune receptor repertoires. Proceedings of the National Academy of Sciences of the United States of America. 111: 9875-80 |
| Murugan A, Mora T, Walczak AM, et al. (2012) Statistical inference of the generation probability of T-cell receptors from sequence repertoires. Proceedings of the National Academy of Sciences of the United States of America. 109: 16161-6 |
| Melnikov A, Murugan A, Zhang X, et al. (2012) Systematic dissection and optimization of inducible enhancers in human cells using a massively parallel reporter assay. Nature Biotechnology. 30: 271-7 |
| Kinney JB, Murugan A, Callan CG, et al. (2010) Using deep sequencing to characterize the biophysical mechanism of a transcriptional regulatory sequence. Proceedings of the National Academy of Sciences of the United States of America. 107: 9158-63 |
| Mora T, Walczak AM, Bialek W, et al. (2010) Maximum entropy models for antibody diversity. Proceedings of the National Academy of Sciences of the United States of America. 107: 5405-10 |
| Tkacik G, Callan CG, Bialek W. (2008) Information capacity of genetic regulatory elements. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 78: 011910 |
| Mustonen V, Kinney J, Callan CG, et al. (2008) Energy-dependent fitness: a quantitative model for the evolution of yeast transcription factor binding sites. Proceedings of the National Academy of Sciences of the United States of America. 105: 12376-81 |