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Curtis Gove Callan, Jr.

Affiliations: 
1972- Physics Princeton University, Princeton, NJ 
Area:
Theoretical physics, theoretical problems in cellular biology
Website:
https://phy.princeton.edu/people/curtis-callan
Google:
"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
https://archive.org/stream/JohnArchibaldWheelerAStudyOfMentoringInModernPhysics/JohnArchibaldWheeler-AStudyInMentoring-Part03-AppendicesCDAndE#page/n45/mode/2up
http://adsabs.harvard.edu/abs/1964PhDT........46C
DOI: 10.1119/1.1971256
Note: Both INSPIRE and the Mathematics Genealogy seem to be mistaken about Curtis Callan's advisor, see John Archibald Wheeler: A Study of Mentoring in Modern Physics
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Mean distance: 13.25
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Parents

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Robert H. Dicke grad student 1964 Princeton
 (Spherically Symmetric Cosmological Models.)

Children

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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

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Darrell D. E. Long collaborator (Computer Science Tree)
William Bialek collaborator 1995- Princeton
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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
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