Comment: Many issues:1) We need independent sources for his career. His CV is not independent.2) Contrary to what was previously stated, an APS Fellow is not notable enough, there are too many each year. SIAM maybe, although there were 26 in 2022.3) While a DOE young investigator award is good for a career, it is not notable enough.4) A long list of publications with brief descriptions does not prove notability.5) There are major format issues that need to be addressed.6) Things like his working in the music industry have no place here.7) Almost no sources to verify his career, most of which is not relevant.Please read carefully WP:NACADEMIC and rewrite this as carefully and rigorously as you would a SIAM paper (perhaps a bit less waffling than some papers). Assume that you will be peer reviewed on Wikipedia. Ldm1954 (talk) 01:52, 3 November 2023 (UTC)
Comment: The SIAM and APS Fellowships make him notable through WP:PROF#C3 but I agree with Qcne that this is not ready to be promoted to an article. Everything needs a reference. The basic facts of his education and career could use a cv as reference but anything evaluative (like the importance of his research) needs properly published sources that are independent of Restrepo and his employers. —David Eppstein (talk) 21:42, 17 September 2023 (UTC)
Comment: We need inline citations. Please read WP:INCITE. Qcne (talk) 15:48, 17 September 2023 (UTC)
Juan M. Restrepo | |
---|---|
Born | Bogota, Colombia | September 4, 1961
Nationality | American |
Alma mater | The Pennsylvania State University,New York University,Columbia University |
Known for | Ocean transport, wave-current interactions; Data assimilation, estimation using dynamics and observations, Climate predictions under uncertainty. |
Scientific career | |
Fields | Mathematics |
Institutions | Oak Ridge National Laboratory,Oregon State University,University of Arizona, UCLA,Argonne National Laboratory |
Thesis | Three-dimensional Model for the Formation of Longshore Sand Ridges on the Continental Shelf (1992) |
Doctoral advisors | Jerry L. Bona, T. Brooke Benjamin |
Doctoral students | Emily Lane. |
Juan Mario Restrepo (born 4 September 1961) is an American mathematician known for his contributions to ocean dynamics, data assimilation, and computational statistical mechanics.
Restrepo is known for his work in wave-current interactions, and in particular, on wave-generated transport. It is a collaboration with James McWilliams (UCLA) and later, with his former student, Dr. Emily Lane (NIWA) and post-doc Jorge Ramirez (Oak Ridge National Laboratory). See (McWilliams, Restrepo, 1999)
[1]Cite error: A <ref>
tag is missing the closing </ref>
(see the help page).. Restrepo went on to formulate the inclusion of wave breaking in wave generated transport via stochastic parametrizations in Restrepo (2007)[2] and in Restrepo, Ramirez, McWilliams, Banner (2011).[3] Transient wave generated transport, largely unexplored, was considered in Restrepo and Ramirez (2019).[4]
In Restrepo, Venkataramani, Dawson (2014)[5] it is theorized that
the phenomenon of large-scale nearshore "sticky waters," that is,
the parking of shoreward propagating oil and debris in coastal waters, is the result of the transition of advective to diffusive transport in the nearshore.
Another major research program of his is concerned with the Bayesian estimation of time dependent model and observation predictions in the presence of uncertainties. Restrepo has focused on creating new methods, capable of handling nonlinear/non-Gaussian problems, mostly by adapting constructs from statistical mechanics (see Eyink et al., 2004[6], Restrepo, 2008[7], Rosenthal et al., 2017 [8], Restrepo, 2017 [9]).
In the context of climate science, he has focused on the implications of ocean modeling on thermohaline circulation. A general audience presentation of his work in climate predictability is in: "how one establishes through the analysis of data that our Earth's climate does not have a stationary state and how it is possible to make climate predictions using models despite large modeling uncertainties" (video). youtube.com. 2020.
Career
Juan M. Restrepo[10] is the Section Head of the Mathematics in Computation Section at Oak Ridge National Laboratory. His research is devoted to the application of statistical physics ideas to systems biology, artificial intelligence, and learning to Bayesian estimation, sampling and probabilistic methods for artificial intelligence. He is also Joint Faculty Professor in the Mathematics Department at the University of Tennessee, Knoxville. Prior to that, he was in the mathematics department at Oregon State University, and in the mathematics and physics departments at the University of Arizona. He began his career as a postdoctoral fellow at Argonne National Laboratory and a visiting professor in the mathematics department at UCLA.
Restrepo grew up in New Jersey/New York, and in Bogota Colombia, he is the son of the Colombian artist Pedro Restrepo and the Italian/Armenian Pianist and TV Producer Ilda Pace Restrepo. He holds a Music BS from New York University, an MS in Engineering Acoustics from the Pennsylvania State University and a PhD in Physics from the Pennsylvania State University, under the supervision of Jerry L. Bona and T. Brooke Benjamin, working on mathematical aspects of solitary waves and the dynamics of sediment under the action of nonlinear dispersive waves. As a post-doctoral fellow he did research in wavelet-Galerkin methods, backpropagation for differentiation. With Sever Tipei and Hans Kaper, created the first ever music on a parallel computer, the IBM SP-1 computer, and designed the acoustics of the Advanced Photon Source Auditorium at Argonne National Laboratory.
He has served as vice chair of SIAM Geosciences Section, chair of the APS Focus Group on Climate, President of the Nonlinear Geophysics Section at AGU, and many committee assignments in SIAM. He is an associate editor at the International Journal of Uncertainty Quantification, Nonlinear Processes in Geophysics, and Foundations of Data Sciences.
Recognition
Restrepo's awards include the Society of Industrial and Applied Mathematics, SIAM, Geosciences Career Prize 2017, and a Department of Energy Young Investigator Award, 2003. He is a fellow of SIAM, and a fellow of the American Physical Society.
References
- ^ McWilliams, James C.; Restrepo, Juan M. (1999). <2523:TWDOC>2.0.CO;2 "The Wave-Driven Ocean Circulation". Journal of Physical Oceanography. 10: 2523–2540. Bibcode:2004JFM...511..135M. doi:10.1175/1520-0485(1999)029<2523:twdoc>2.0.co;2. S2CID 123156314.
- ^ Restrepo, Juan M. (2007). "Wave Breaking Dissipation in the Wave-Driven Ocean Circulation". Journal of Physical Oceanography. 37 (7): 1749–1763. Bibcode:2007JPO....37.1749R. doi:10.1175/jpo3099.1.
- ^ Restrepo, Juan M.; Ramírez, Jorge M.; McWilliams, James C.; Banner, Michael (2011). "Multiscale Momentum Flux and Diffusion due to Whitecapping in Wave–Current Interactions". Journal of Physical Oceanography. 41 (5): 837–856. Bibcode:2011JPO....41..837R. doi:10.1175/2010jpo4298.1.
- ^ Restrepo, Juan M.; Ramirez, Jorge M. (2019). "Transport due to Transient Progressive Waves". Journal of Physical Oceanography. 49 (9): 2323–2336. arXiv:1808.09613. Bibcode:2019JPO....49.2323R. doi:10.1175/jpo-d-19-0087.1. S2CID 119094179.
- ^ Restrepo, Juan M.; Venkataramani, Shankar C.; Dawson, Clint (2014). "Nearshore sticky waters". Ocean Modelling. 80: 49–58. arXiv:1307.0588. Bibcode:2014OcMod..80...49R. doi:10.1016/j.ocemod.2014.06.003. S2CID 118413912.
- ^ Eyink, Gregory L.; Restrepo, Juan M.; Alexander, Francis J. (2004). "A mean field approximation in data assimilation for nonlinear dynamics". Physica D: Nonlinear Phenomena. 195 (3–4): 347–368. Bibcode:2004PhyD..195..347E. doi:10.1016/j.physd.2004.04.003.
- ^ Restrepo, Juan M. (2008). "A path integral method for data assimilation". Physica D: Nonlinear Phenomena. 237 (1): 14–27. Bibcode:2008PhyD..237...14R. doi:10.1016/j.physd.2007.07.020.
- ^ Rosenthal, W. Steven; Venkataramani, Shankar; Mariano, Arthur J.; Restrepo, Juan M. (2017). "Displacement data assimilation". Journal of Computational Physics. 330: 594–614. arXiv:1602.02209. Bibcode:2017JCoPh.330..594R. doi:10.1016/j.jcp.2016.10.025. S2CID 19707811.
- ^ Restrepo, J. M. (2017). "A dynamic likelihood approach to filtering". Quarterly Journal of the Royal Meteorological Society. 143 (708): 2915–2924. Bibcode:2017QJRMS.143.2915R. doi:10.1002/qj.3143. S2CID 125674410.
- ^ "CV". ornl.gov. Retrieved September 10, 2023.
- J. C. McWilliams, J. M. Restrepo, "The Wave-Driven Ocean Circulation", Journal of Physical Oceanography, 29, pp 2523-2540 (1999).
- J. M. Restrepo, "Wave-Current Interactions in Shallow Waters and Shore-Connected Ridges," Continental Shelf Research, 21, pp. 1331-1360 (2001).
- J. McWilliams, J. M. Restrepo, Emily Lane, "An Asymptotic Theory for the Interaction of Waves and Currents in Shallow Coastal Waters," Journal of Fluid Mechanics, 511, pp. 135-178 (2004).
- E. Lane, J. M. Restrepo, J. McWilliams, "Wave-Current Interaction: A Comparison of Radiation Stress and Vortex-Force Representations," Journal of Physical Oceanography, 37 pp.1122-1141 (2007).
- J. M. Restrepo, "Wave Breaking Dissipation in a Wave-driven Circulation," Journal of Physical Oceanography, 37, pp. 1749-1763 (2007).
- J.M. Restrepo, J. Ramírez, J.C. McWilliams, M. Banner, " Multiscale Momentum Flux and Diffusion due to Whitecapping in Wave-Current Interactions," Journal of Physical Oceanography, 41, pp 837- 856 (2011).
- J, M. Restrepo, S. Venkataramami, C Dawson, "Nearshore Sticky Waters," Ocean Modelling, 80, pp. 49-58, (2014).
- J. M. Restrepo, J. Ramírez, "Transport due to Transient Progressive Waves," Journal of Physical Oceanography, 49, pp. 2323-2336, (2019).
- G. E. Eyink, J. M. Restrepo, J. F. Alexander, "A Mean Field Approximation in Data Assimilation for Nonlinear Dynamics," Physica D, 195, pp. 347-368 (2004).
- J. F. Alexander, G. E. Eyink, J. M. Restrepo, "Accelerated Monte-Carlo for Optimal Estimation of Time Series," Journal of Statistical Physics, 119, pp.1331-1345 (2005).
- J. M. Restrepo, "A Path Integral Method for Data Assimilation," Physica D, 237, pp. 14–27 (2008).
- S. Rosenthal, S. Venkataramani, J. M. Restrepo, A. Mariano, "Displacement Data Assimilation," Journal of Computational Physics, 330, pp. 594-614, (2017).
- J. M. Restrepo, "A Dynamic Likelihood Approach to Filtering" Quarterly Journal of the Royal Society of Meteorology, 10.1002/qj.3143 (2017).
- J.M. Restrepo, J. M. Ramírez, "Calculating Probability Densities with Homotopy and Applications to Particle Filters," International Journal of Uncertainty Quantification, 12, pp 71-89 (2021).
External links