jakehofman.comresearch |
my current work involves applications of machine learning and statistical inference techniques to text, image, and network data, mostly as applied to problems in social science.
What can search predict?
Sharad Goel, Jake M. Hofman, Sebastien Lahaie, David M. Pennock, Duncan J. Watts
(submitted, 2010)
preprint: pdf
Inferring relevant social networks from interpersonal communication
Munmun De Choudry, Winter A. Mason, Jake M. Hofman, Duncan J. Watts
19th International World Wide Web Conference (2010)
Learning Rates and States from Biophysical Time Series:
A Bayesian Approach to Model Selection and Single-Molecule FRET Data
Jonathan E. Bronson, Jingyi Fei, Jake M. Hofman, Ruben L. Gonzalez, Jr, and Chris H. Wiggins
Biophysical Journal (2009) pdf
preprint: pdf
Allosteric collaboration between elongation factor G and the ribosomal L1 stalk directs tRNA movements during translation
Jingyi Fei, Jonathan E. Bronson, Jake M. Hofman, Rathi L. Srinivas, Chris H. Wiggins and Ruben L. Gonzalez, Jr
Proceedings of the National Academy of Sciences (2009) pdf
preprint: arXiv: 0909.0466
Characterizing Individual Communication Patterns
R. Dean Malmgren, Jake M. Hofman, Luis A. N. Amaral, and Duncan J. Watts
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
preprint: arXiv: 0905.0106 (2009)
CentMail: Rate Limiting via Certified Micro-Donations
Sharad Goel, Jake Hofman, John Langford, David M. Pennock, and Daniel M. Reeves
18th International World Wide Web Conference (Developers Track) (2009)
pdf
A Bayesian Approach to Network Modularity
Jake M. Hofman, Chris H. Wiggins
Phys. Rev. Lett. 100, 258701 (2008) pdf code
preprint: arXiv: 0709.3512 (2007)
Quantification of Cell Edge Velocities and Traction Forces Reveals Distinct Motility Modules during Cell Spreading
Benjamin J. Dubin-Thaler, Jake M. Hofman, Yunfei Cai, Harry Xenias, Ingrid Spielman, Anna V. Shneidman, Lawrence A. David, Hans-Gunther Dobereiner, Chris H. Wiggins, Michael P. Sheetz
PLoS ONE 3(11): e3735 (2008) pdf
Opposing Effects of PKC{theta} and WASp on Symmetry Breaking and Relocation of the Immunological Synapse
Tasha N. Sims, Timothy J. Soos, Harry S. Xenias, Benjamin Dubin-Thaler, Jake M. Hofman, Janelle C. Waite, Thomas O. Cameron, V. Kaye Thomas, Rajat Varma, Chris H. Wiggins, Michael P. Sheetz, Dan R. Littman, and Michael L. Dustin
Cell 129:773-785 (2007) pdf
Nonmuscle Myosin IIA-dependent Force Inhibits Cell Spreading and Drives F-actin Flow
Yunfei Cai, Nicolas Biais, Gregory Giannone, Monica Tanase, Benoit Ladoux, Jake M. Hofman, Chris H. Wiggins and Michael P. Sheetz
Biophysical Journal, 91:3907-3920 (2006) pdf
Lateral Membrane Waves Constitute a Universal Dynamic Pattern of Motile Cells
Hans-Guenther Dobereiner, Benjamin J. Dubin-Thaler, Jake M. Hofman, Harry S. Xenias, Tasha N. Sims, Gregory Giannone, Michael L. Dustin, Chris H. Wiggins, and Michael P. Sheetz
Phys. Rev. Lett. 97:038102 (2006) pdf
The small GTPase R-Ras regulates organization of actin and drives membrane protrusions through the activity of PLC{epsilon}
Aude S. Ada-Nguema, Harry Xenias, Jake M. Hofman, Chris H. Wiggins, Michael P. Sheetz and Patricia J. Keely
Journal of Cell Science 119:1307-1319 (2006) pdf
2010.01.14: "an introduction to bayesian inference", nyc ml meetup, slides part 1, part 2
2009.10.02: "social network analysis with hadoop", hadoopworld nyc 2009, slides as pdf
2009.07.09: "bayesian inference: principles and practice", nyc r meetup, slides as pdf
2008.12.07: "bayesian statistics and massive data streams", japanese-american kavli frontiers, abstract
2008.12.04: "community detection: model fitting, comparison, and utility", abstract, slides
2008.07.04: "inferring the structure and scale of modular networks", mlg 2008: slides as pdf, video
2008.03.12: "a bayesian approach to network modularity", aps march meeting: slides as pdf
2007.12.08: "a bayesian approach to network modularity", nips 2007 workshop: slides as pdf or quicktime
2007.10.31: "simple math for a complex world: random walks in biology and finance": slides, notes, movies
2007.10.19: "a bayesian approach to network modularity", apam: slides as pdf or quicktime
2007.09.28: "using time wisely in research: computer tools for keeping up + collborating": slides
2007.07.18: "machine learning tutorial", boulder summer school: slides, demos
chris wiggins, phd advisor, associate professor of applied mathematics in dept of applied physics and applied mathematics at columbia
the sheetz lab, collaborators; cell biology lab at columbia
the gonzalez lab, collaborators; single-molecule lab in columbia's chemistry department