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Current Participants willing to Speak Elsewhere

All long-term INI programme participants from overseas are encouraged to give seminars at, or to make short visits to, UK institutions outside Cambridge during their stay. To support this activity, the Institute will cover the travel expenses involved for any participant who is formally invited to speak at another institution; the host institution is expected to cover any accommodation and incidental costs.

To assist organisers of seminar series at UK Universities in their search for relevant speakers, INI maintains a register shown below of those of its participants who are visiting from overseas for a period of at least two weeks, and who have indicated their willingness to give lectures or seminars elsewhere during their stay. This register lists their contact details, key subject areas and provisional talk titles as well as the dates of the programme (for their actual visit dates please see the relevant programme's Participants webpage). Arrangements are normally made directly with the speaker via the email address given in the register; but the Institute will be happy to assist in cases where there are difficulties in making direct arrangements.

A complete list of all participants in each programme may be found by visiting the relevant programme's web page via the links below.

MIM = Melt in the Mantle

QIM = Mathematical Aspects of Quantum Integrable Models in and out of Equilibrium

SDB = Stochastic Dynamical Systems in Biology: Numerical Methods and Applications


 

NAME EMAIL ADDRESS

PROGRAMME CODE and PROGRAMME DATES

(click on programme code to see participant's visit dates)

AREAS OF EXPERTISE TALK TITLES
Bence Melykuti melykuti[at]stochastik.uni-freiburg[dot]de

SDB

Jan - Jun 2016

Probability Theory; Stochastic Processes; Systems Biology
  1. Equilibrium distributions of simple biochemical reaction systems for time-scale separation in stochastic reaction networks
  2. The stationary distribution of a Markov jump process glued together from two state spaces at two vertices
  3. Parameter estimation in a percolation model with colouring
David Anderson anderson[at]math.wisc[dot]edu

SDB

Jan - Jun 2016

Stochastic models of biochemical reaction networks
  1. Numerical methods for the stochastic models in biochemistry
  2. Multilevel Monte Carlo in the small noise setting: from jump to diffusion processes
  3. Stochastic models of biochemical reaction systems and absolute concentration robustness
  4. Qualitative behavior of stochastic models of reaction networks
Peter Kramer kramep[at]rpi[dot]edu

SDB

Jan - Jun 2016

Stochastic modeling in microscale biology
  1. Stochastic Fluctuations in Suspensions of Swimming Microorganisms
Rachel Kuske rachel[at]math.ubc[dot]ca

SDB

Jan - Jun 2016

Applied Stochastic Modeling; Nonlinear Dynamics.
  1. New averaging results motivated by climate models: fat tails, oscillations and tipping
  2. Noise and discontinuous dynamics: sliding, grazing, and zigzags in random environments
  3. New patterns in stochastic PDE's with Pyragas control
  4. Reliability of noise induced spikes for different types of threshold dynamics
Samuel Isaacson isaacson[at]math.bu[dot]edu

SDB

Jan - Jun 2016

Mathematical Biology and Numerical Analysis
  1. Stochastic Reaction-Diffusion Methods for Modeling Cellular Processes
  2. Search Processes within Cellular Geometries
  3. Bimolecular Reaction Mechanisms For Stochastic Reaction-Diffusion Models
  4. Reactive Boundary Conditions as Limits of Interaction Potentials
David Holcman david.holcman[at]ens[dot]fr

SDB

Jan - Jun 2016

Applied Mathematics; Computational Biology
  1. Analysis of super-resolution single particle stochatic trajectories
  2. Modeling the tri-partite synapse
  3. What can be recovered about neuronal networks from electrophysiological recordings
  4. The stochastic narrow escape theory for finding a small hole: asymptotic theory and applications in cell biology
Andreas Hellander andreas.hellander[at]it.uu[dot]se

SDB

Jan - Jun 2016

Computational Systems Biology, Applied Cloud Computing
  1. Multiscale Spatial Stochastic simulation of Biochemical Networks
  2. MOLNS: A Cloud Computing Virtual Lav for Coputational Systems Biology Experiments

 

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