Applied Physics and Applied Mathematics
Wiggins is an applied mathematician with a Ph.D. in theoretical physics working on computational biology. His research interests includes applied mathematics, mathematical biology, biopolymer dynamics, soft condensed matter, genetic networks and network inference, and machine learning.
- NSF International Fellow, Hahn-Meitner Institut, Berlin, Summer 2001
- NSF Mathematical Sciences Foundation Postdoctoral Research Fellow, 1998-2001
- Visiting Postdoctoral Researcher, Institut Curie, Physico-Chimie Curie, Paris 1998
- Chief Data Scientist, The New York Times, 2014-
- Associate Professor, Department of Applied Physics and Applied Mathematics, and Center for Computational Biology and Bioinformatics (C2B2), Columbia University 2006-
- Assistant Professor, Department of Applied Physics and Applied Mathematics, and Center for Computational Biology and Bioinformatics (C2B2), Columbia University, 2001-2006
- Assistant Professor/Courant Instructor, Courant Institute, NYU, 1998-2001
- American Physical Society Fellow
- 2014- Chief Data Scientist, The New York Times
- 2011-2014 Selected as mentor for TechStars NYC
- 2011 Selected among 25 “People to watch in Silicon Alley” (Crains)
- 2010 Selected among 100 “Silicon Alley Insiders” (Business Insider)
- 2008 Featured in April 2008 Scientific American “Insights” piece: `At the Edge of Life's Code'
- 2008 Selected for (invitation-only) Google/Nature Magazine ‘SciFoo’ interdisciplinary conference
- 2007 Janette and Armen Avanessians Diversity Award, SEAS, Columbia University
- Learning probabilistic phenotypes from heterogeneous EHR data, R Pivovarov, AJ Perotte, E Grave, J Angiolillo, CH Wiggins, N Elhadad, Journal of biomedical informatics 58, 156-165, 2015
- Noise expands the response range of the Bacillus subtilis competence circuit, A Mugler, M Kittisopikul, L Hayden, J Liu, CH Wiggins, GM Suel, ...arXiv preprint arXiv:1508.07571, 2015
- Statistical Inference for Nanopore Sequencing with a Biased Random Walk Model, KJ Emmett, JK Rosenstein, JW van de Meent, KL Shepard, CH Wiggins, Biophysical journal 108 (8), 1852-1855, 2015
- Integrative analysis of T cell motility from multi-channel microscopy data using TIAM, V Mayya, W Neiswanger, R Medina, CH Wiggins, ML Dustin, Journal of immunological methods 416, 84-93, 2015
- Single-molecule dataset (SMD): a generalized storage format for raw and processed single-molecule data, M Greenfeld, JW van de Meent, DS Pavlichin, H Mabuchi, CH Wiggins, …, BMC bioinformatics 16 (1), 1, 2015
- Pegasus: a comprehensive annotation and prediction tool for detection of driver gene fusions in cancer, F Abate, S Zairis, E Ficarra, A Acquaviva, CH Wiggins, V Frattini, ..., BMC systems biology 8 (1), 97, 2014
- Multiple LacI-mediated loops revealed by Bayesian statistics and tethered particle motion, S Johnson, JW van de Meent, R Phillips, CH Wiggins, M Lindén, Nucleic acids research, gku563, 2014
- Bias in synapse stability leads to suppression of naive CD8 T cell activation by memory CD8 T cells during secondary responses (IRC9P. 709), V Mayya, E Judokusumo, R Medina, S Zairis, C Wiggins, L Kam, M Dustin, The Journal of Immunology 192 (1 Supplement), 191.10-191.10, 2014
- Stylistic clusters and the Syrian/South Syrian tradition of first-millennium BCE Levantine ivory carving: a machine learning approach, AR Gansell, JW van de Meent, S Zairis, CH Wiggins, Journal of Archaeological Science 44, 194-205, 2014
- Empirical Bayes methods enable advanced population-level analyses of single-molecule FRET experiments, JW van de Meent, JE Bronson, CH Wiggins, RL Gonzalez Jr, Biophysical journal 106 (6), 1327-1337, 2014
- Multiple Lac-Mediated Loops Revealed by Bayesian Statistics and Tethered Particle Motion M Lindén, S Johnson, JW van de Meent, R Phillips, C Wiggins, Biophysical Journal 106 (2), 22a, 2014