Monte Carlo Methods in the Physical and Biological Sciences (Oct 29 - Nov 2, 2012)

Organizing Committee

[Image courtesy of Eric Vanden-Eijnden]


Monte Carlo methods are one of the main tools used to study the properties of complex physical, chemical and biological systems. Since their introduction in the late 1940s, these methods have undergone a remarkable expansion and are now used in many other fields, including statistical inference, engineering, and computer science. However, the design and theoretical understanding of Monte Carlo methods is still a challenging topic, especially for those problems where rare events play the key role in determining algorithm performance. The aim of the workshop is to bring together specialists in the application areas who understand the specific challenges posed by realistic problems and have developed sophisticated tools to tackle these problems, and mathematicians developing methods for algorithm analysis, abstraction, and optimization.

  • Loyce Adams
    (University of Washington)
  • Ikemefuna Agbanusi
    (Boston University)
  • Mohammadreze Aghajani
    (Brown University)
  • Alfred Akinsete
    (Marshall University)
  • Tapio Ala-Nissila
    (Aalto University)
  • Rosalind Allen
    (University of Edinburgh)
  • Ibraheem Alolyan
    (King Saud University)
  • David Anderson
    (University of Wisconsin)
  • Radhakrishnan Balu
    (U.S. Army Research Office)
  • Bruce Berne
    (Columbia University)
  • Jose Blanchet
    (Columbia University)
  • Sergiy Borodachov
    (Towson University)
  • Wei Cai
    (Shanghai Jiaotong University)
  • Maria Cameron
    (University of Maryland)
  • Daniel Cargill
    (New Jersey Institute of Technology)
  • David Ceperley*
    (University of Illinois)
  • Jiang Chen
    (University of North Carolina)
  • Xinyun Chen
    (Columbia University)
  • Yanlai Chen
    (University of Massachusetts, Dartmouth)
  • Cecilia Clementi*
    (Rice University)
  • Arnaud Debussche
    (Ecole Normale Superieure de Cachan)
  • Michael Deem*
    (Rice University)
  • Pierre Del Moral*
    (INRIA )
  • Jimmie Doll
    (Brown University)
  • Jing Dong
    (Columbia University)
  • Paul Dupuis
    (Brown University)
  • Ibrahim Fatkullin
    (University of Arizona)
  • Zechang Gan
    (Shanghai Jiao Tong University)
  • Arnab Ganguly
    (Swiss Federal Institute of Technology)
  • Yu Gu
    (Columbia University)
  • James Gubernatis
    (Los Alamos National Laboratory)
  • Thorbjorn Gundmundsson
    (Royal Institute of Technology)
  • Li Han
    (Clark University)
  • Matthew Harrison
    (Brown University)
  • Florent Hedin
    (University of Basel)
  • Peng Hu
    (Universite de Bordeaux I)
  • Henrik Hult
    (KTH Royal Institute of Technology, Stockholm)
  • Gerhard Hummer*
    (National Institutes of Health)
  • Dane Johnson
    (Brown University)
  • Mark Johnson
    (Macquarie University)
  • Hannes Jonsson*
    (University of Iceland (Háskóli Islands))
  • Sandeep Juneja
    (Tata Insitute of Fundamental Research)
  • George Karniadakis
    (Brown University)
  • William Kath*
    (Northwestern University)
  • Kay Kirkpatrick*
    (University of Illinois at Urbana-Champaign)
  • Olga Komarov
    (Technion-Israel Institute of Technology)
  • Kody Law
    (University of Warwick)
  • Sivan Leviyang
    (Georgetown University)
  • Juan Li
    (Columbia University)
  • Ling Lin
    (New York University)
  • Jingchen Liu
    (Columbia University)
  • Jun Liu*
    (Harvard University)
  • Yufei Liu
    (Brown University)
  • Jianfeng Lu*
    (Princeton University)
  • Felicia Magpantay
    (Centrew for Disease Modeling)
  • Elizabeth Makrides
    (Brown University)
  • Youssef Marzouk
    (Massachusetts Institute of Technology)
  • Michael Mascagni
    (Florida State University)
  • Markus Meuwly*
    (Universität Basel)
  • Sorin Mitran
    (University of North Carolina)
  • Shorash Miro
    (Ruhr-Universitate Bochum)
  • Sergio Monter
    (University of North Carolina)
  • Richard Moore
    (New Jersey Institute of Technology)
  • Karthyek Murthy
    (Tata Institute of Fundamental Research)
  • Akil Narayan
    (University of Massachusetts, Dartmouth)
  • Hao Ni
    (University of Oxford)
  • Pierre Nyquist
    (Royal Institute of Technology)
  • Garegin Papoian*
    (University of Maryland)
  • Natesh Pillai
    (Harvard University)
  • Nuria Plattner*
    (Universität Basel)
  • Cristian Predescu*
    (D.E. Shaw)
  • Kavita Ramanan
    (Brown University)
  • Dominik Reinhold
    (Clark University)
  • Weiqing Ren*
    (National University of Singapore and IHPC)
  • Boris Rozovsky
    (Brown University)
  • Matteo Ruggiero
    (Universita di Torino)
  • Scott Schmidler
    (Duke University)
  • Laura Slivinski
    (Brown University)
  • Aaron Smith
    (Stanford University)
  • Eduardo Sontag
    (Rutgers University)
  • Bedrich Sousedik
    (University of Southern California)
  • Konstantinos Spiliopoulos*
    (Boston University)
  • Erik Sudderth
    (Brown University)
  • Ilya Timofeyev
    (University of Houston)
  • Michael Tretyakov
    (University of Nottingham)
  • Ivi Tsantili
    (National Technical University of Athens)
  • Eric Vanden-Eijnden
    (New York University)
  • Daniele Venturi
    (Brown University)
  • Art Voter*
    (Los Alamos National Laboratory)
  • Xiaoliang Wan
    (Louisiana State University)
  • Jonathan Weare*
    (University of Chicago)
  • John Weeks*
    (University of Maryland)
  • Ruth Williams
    (University of California, San Diego)
  • Kasia Wolny
    (University of Warwick)
  • Wei Wu
    (Brown University)
  • Gongjun Xu
    (Columbia University)
  • Jun Yan
    (University of Connecticut)
  • SeeChen Ying
    (Brown University)
  • Bo Zhang
    (IBM T.J. Watson Research Center)
  • Xioxuan Zhang
    (IBM T.J. Watson Research Center)
  • Jie Zhong
    (University of Southern California)
Oct 29 - Nov 2, 2012Monte Carlo Methods in the Physical and Biological SciencesBruce Berne, Maria Cameron, Jimmie Doll, Paul Dupuis, Eric Vanden-Eijnden

Video Links
Description Speaker
WednesdayOctober 31, 2012
8:30 - 8:55Registration
8:55 - 9:00WelcomeJill Pipher, Director, ICERM
9:00 - 10:20Accelerated Molecular Dynamics MethodsArthur F. Voter, Los Alamos National Laboratory11th Floor Lecture Hall
10:20 - 10:40Coffee/Tea Break11th Floor Collaborative Space
10:40 - 11:30Extension of the string method for saddle points searchWeiqing Ren, National University of Singapore and IHPC11th Floor Lecture Hall
11:30 - 12:20Computational Approaches to Investigate Ligand Migration Pathways in ProteinsMarkus Meuwly, Universitat Basel11th Floor Lecture Hall
12:15 - 2:00Break for Lunch and Free Time
2:00 - 2:50Adaptive Kinetic Monte Carlo for Long Time Simulations and Global OptimizationHannes Jonsson, University of Iceland (Haskoli Islands)11th Floor Lecture Hall
2:50 - 3:20Coffee/Tea Break
3:20 - 4:30Challenges in Path Integral Monte CarloDavid Ceperley, University of Illinois Urbana-Champaign11th Floor Lecture Hall
7:00 - 8:30Poster Session and Dessert Reception 11th Floor Lecture Hall and Collaborative Space

ThursdayNovember 1, 2012
9:00 - 9:50Ferromagnets and the mean-field classical Heisenberg modelKay Kirkpatrick, University of Illinois at Urbana-Champaign11th Floor Lecture Hall
10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space
10:30 - 11:20Concentration inequalities for Feynman-Kac particle models and their applicationsPierre Del Moral, INRIA11th Floor Lecture Hall
11:20 - 12:10Sign and Phase Problems in Markov Chain Monte Carlo- Sampling the UnsampleableJames E. Gubernatis, Los Alamos National Laboratory11th Floor Lecture Hall
12:10 - 2:00Break for Lunch and Free Time
2:00 - 2:50Metastability and Monte Carlo Methods for Multiscale ProblemsKonstantinos Spiliopoulos, Boston University11th Floor Lecture Hall
2:50 - 2:55Group Photo11th Floor Lecture Hall
2:55 - 3:35Coffee/Tea Break11th Floor Collaborative Space
3:30 - 4:20Overcoming the rare-event sampling problem in biological systems with infinite swappingNuria Plattner, Universitat Basel11th Floor Lecture Hall
4:30 - 6:00Workshop Reception

FridayNovember 2, 2012
9:00 - 9:50Antithetic Thermostat for Fast Computing MachinesCristian Predescu, D. E. Shaw Research11th Floor Lecture Hall
10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space
10:30 - 11:20Metastability and coarse-graining of stochastic systemsJianfeng Lu, Duke University11th Floor Lecture Hall
11:20 - 12:10Bayesian inference of three-dimensional chromosomal organization from Hi-C dataJun Liu, Harvard University11th Floor Lecture Hall
12:20 - 5:00Afternoon for Collaborations11th Floor Lecture Hall
3:00 - 3:30Coffee/Tea Break11th Floor Collaborative Space