Campuses:

Talks

Date Title / Speaker Eventsort ascending
November 16, 2011 Imaging development of the embryonic heart over multiple spatial dimensions, modalities and time-scales
Michael Liebling (University of California, Santa Barbara)
Large Data Sets in Medical Informatics
November 16, 2011 Large-Scale Multiple Testing in Medical Informatics
Robert Nowak (University of Wisconsin, Madison)
Large Data Sets in Medical Informatics
November 14, 2011 Tutorial - Quantitative biological imaging: from cells to numbers
Jean-Christophe Olivo-Marin (Institut Pasteur)
Large Data Sets in Medical Informatics
November 17, 2011 Using Algorithms to Produce High Content Information from Cell and Tissue Images
Jens Rittscher (General Electric)
Large Data Sets in Medical Informatics
November 14, 2011 Scalable methods for analyzing 3D/4D/5D Images of Complex

and Dynamic Biological Microenvironments

Badri Roysam (University of Houston)
Large Data Sets in Medical Informatics
November 15, 2011 Tutorial - Translational medical imaging
Guillermo Sapiro (University of Minnesota, Twin Cities)
Large Data Sets in Medical Informatics
November 17, 2011 Estimation of Individual’s Risk for Complex Trait Diseases: Methods and Challenges using Allelic Specific Expression and Mapping Cis-variance from NGS Data (RNA and Exome Sequencing Data)
Shipra Agrawal (BioCOS Life Sciences Private Limited)
Large Data Sets in Medical Informatics
November 16, 2011 Designing fast and robust algorithms for medical image processing
Elsa Angelini (Telecom ParisTech)
Large Data Sets in Medical Informatics
November 17, 2011 Tutorial - Massive scale of DNA sequencing data presents challenges in processing and analysis
Fuli Yu (Baylor College of Medicine)
Large Data Sets in Medical Informatics
November 17, 2011 Intervention and Control of Large-Scale Gene Regulatory Networks
Nidhal Bouaynaya (University of Arkansas), Dan Schonfeld (University of Illinois, Chicago)
Large Data Sets in Medical Informatics
November 15, 2011 Interactive Segmentation of 3D Imagery
Allen Tannenbaum (Boston University)
Large Data Sets in Medical Informatics
November 16, 2011 Inverse problems in tomographic imaging
Charles Bouman (Purdue University)
Large Data Sets in Medical Informatics
November 17, 2011 Tutorial - Massive scale of DNA sequencing data presents challenges in processing and analysis
Fuli Yu (Baylor College of Medicine)
Large Data Sets in Medical Informatics
November 18, 2011 Modeling and Acceleration of Maximum A Posteriori Reconstruction from Large CT Datasets
Jean-Baptiste Thibault (GE Healthcare)
Large Data Sets in Medical Informatics
November 14, 2011 Pattern Discovery in Biomedical Modelling
Yi-Ping Phoebe Chen (La Trobe University)
Large Data Sets in Medical Informatics
November 18, 2011 Large Data Challenges in Medical Imaging and Bioinformatics
Ahmed Tewfik (The University of Texas at Austin)
Large Data Sets in Medical Informatics
November 16, 2011 Multiscale Set Estimation in Biomedical Inverse Problems
Rebecca Willett Lu (Duke University)
Large Data Sets in Medical Informatics
November 14, 2011 Towards Closing the Semantic Gap in Decision Support for Clinical Sequencing in Oncology
Nevenka Dimitrova (Philips Research Laboratory)
Large Data Sets in Medical Informatics
November 14, 2011 How is Biology as a Science Possible?
Edward Dougherty (Texas A & M University)
Large Data Sets in Medical Informatics
November 18, 2011 3-D reconstructions of biological macromolecular complexes by electron microscopy
Peter Doerschuk (Cornell University)
Large Data Sets in Medical Informatics
November 14, 2011 Tutorial - Quantitative biological imaging: from cells to numbers
Jean-Christophe Olivo-Marin (Institut Pasteur)
Large Data Sets in Medical Informatics
November 15, 2011 Correlation-based variable selection for differential gene expression analysis
Alfred Hero III (University of Michigan)
Large Data Sets in Medical Informatics
October 24, 2011 Robust and Efficient Spectral Clustering of Large Graphs
Aarti Singh (Carnegie-Mellon University)
Large Graphs: Modeling, Algorithms, and Applications
October 27, 2011 Graphs in Network Commerce and Their Applications
Neel Sundaresan (eBay)
Large Graphs: Modeling, Algorithms, and Applications
October 25, 2011 Regularized Online Optimization: Tracking Regret, Risk Bounds, and Applications to Dynamic Networks
Rebecca Willett (Duke University)
Large Graphs: Modeling, Algorithms, and Applications
October 25, 2011 Extracting insight from large networks: small-scale structures,

large-scale structures, and their implications for machine learning and

data analysis


Michael Mahoney (Stanford University)
Large Graphs: Modeling, Algorithms, and Applications
October 24, 2011 Trees, Graphs and Clusters: Learning Network Structure through

Clustering

Brian Eriksson (University of Wisconsin, Madison), Robert Nowak (University of Wisconsin, Madison)
Large Graphs: Modeling, Algorithms, and Applications
October 27, 2011 Statistical analysis of populations with interacting and interfering units
Simon Lunagomez (Harvard University)
Large Graphs: Modeling, Algorithms, and Applications
October 25, 2011 Extracting insight from large networks: small-scale structures,

large-scale structures, and their implications for machine learning and

data analysis

Michael Mahoney (Stanford University)
Large Graphs: Modeling, Algorithms, and Applications
October 27, 2011 Statistical analysis of populations with interacting and interfering units a joint work with Edo Airoldi
Simon Lunagomez (Harvard University)
Large Graphs: Modeling, Algorithms, and Applications
October 25, 2011 Can We Quantify & Exploit Tree-like Intermediate Structure in Complex Networks?
Blair Sullivan (Oak Ridge National Laboratory)
Large Graphs: Modeling, Algorithms, and Applications
October 26, 2011 Managing Interference in Wireless Networks
Robert Calderbank (Duke University)
Large Graphs: Modeling, Algorithms, and Applications
October 27, 2011 Learning the Network Structure of Cortical Microcircuits
Stuart Geman (Brown University), Matthew Harrison (Brown University)
Large Graphs: Modeling, Algorithms, and Applications
October 26, 2011 Learning Graphical Models by Competitive Assembly of Marginals
Donald Geman (Johns Hopkins University)
Large Graphs: Modeling, Algorithms, and Applications
October 25, 2011 Graphs of Shapes and Images
Leonidas Guibas (Stanford University)
Large Graphs: Modeling, Algorithms, and Applications
October 26, 2011 The Block Two-Level Erdös-Rényi (BTER) Graph Model
Tamara Kolda (Sandia National Laboratories)
Large Graphs: Modeling, Algorithms, and Applications
October 28, 2011 An Asymmetric Laplacian and Commute Times for Directed Graphs.
Daniel Boley (University of Minnesota, Twin Cities)
Large Graphs: Modeling, Algorithms, and Applications
October 27, 2011 Recent Ideas on Subspace Clustering
Gilad Lerman (University of Minnesota, Twin Cities)
Large Graphs: Modeling, Algorithms, and Applications
October 24, 2011 Trees, Graphs and Clusters: Learning Network Structure through Clustering
Brian Eriksson (University of Wisconsin, Madison), Robert Nowak (University of Wisconsin, Madison)
Large Graphs: Modeling, Algorithms, and Applications
October 24, 2011 Sparse Signal Processing Bounds on Large Graphs
Venkatesh Saligrama (Boston University)
Large Graphs: Modeling, Algorithms, and Applications
October 26, 2011 Network analysis of human brains
Guillermo Sapiro (University of Minnesota, Twin Cities)
Large Graphs: Modeling, Algorithms, and Applications
October 28, 2011 Non-parametric Link Prediction
Purnamrita Sarkar (University of California, Berkeley)
Large Graphs: Modeling, Algorithms, and Applications
September 30, 2011 General principles for high-dimensional estimation: Statistical and computational issues
Martin Wainwright (University of California, Berkeley)
High Dimensional Phenomena
September 30, 2011 General principles for high-dimensional estimation: Statistical and computational issues
Martin Wainwright (University of California, Berkeley)
High Dimensional Phenomena
September 26, 2011 High-dimensional covariance estimation based on Gaussian graphical models
Shuheng Zhou (University of Michigan)
High Dimensional Phenomena
September 27, 2011 Tutorial - User-friendly tail bound for sums of random matrices
Joel Tropp (California Institute of Technology)
High Dimensional Phenomena
September 27, 2011 Algorithmic Construction and Applications of M-Ellipsoids
Santosh Vempala (Georgia Institute of Technology)
High Dimensional Phenomena
September 28, 2011 Principal component analysis with random noise
Van Vu (Yale University)
High Dimensional Phenomena
September 26, 2011 Tutorial - Spectral clustering and high-dim stochastic block model for undirected and directed graphs
Bin Yu (University of California, Berkeley)
High Dimensional Phenomena
September 29, 2011 Tutorial - Structured sparsity-inducing norms through submodular functions
Francis Bach (École Normale Supérieure)
High Dimensional Phenomena
September 26, 2011 Spectral Methods for Learning Multivariate Latent Tree Structure
Kamalika Chaudhuri (University of California)
High Dimensional Phenomena
September 27, 2011 Analytic Organization of High Himensional observational Databases as a tool for learning and inference
Ronald Coifman (Yale University)
High Dimensional Phenomena
September 28, 2011 Tutorial - SDP, GFA, ETC...
Alexandre d'Aspremont (Princeton University)
High Dimensional Phenomena
September 27, 2011 Limiting distributions of eigenvalues for non-normal matrices
Ofer Zeitouni (University of Minnesota, Twin Cities)
High Dimensional Phenomena
September 27, 2011 On the Power of Adaptivity in Sparse Recovery
Piotr Indyk (Massachusetts Institute of Technology)
High Dimensional Phenomena
September 26, 2011 Correlation screening from random matrices: phase transitions and Poisson limits
Alfred Hero III (University of Michigan)
High Dimensional Phenomena
September 30, 2011 Small Value Probability and Metric Entropy
Wenbo Li (University of Delaware)
High Dimensional Phenomena
September 26, 2011 Tutorial - Spectral clustering and high-dim stochastic block model for undirected and directed graphs
Bin Yu (University of California, Berkeley)
High Dimensional Phenomena
September 26, 2011 Active Clustering and Ranking
Robert Nowak (University of Wisconsin, Madison)
High Dimensional Phenomena
September 28, 2011 Randomized algorithms for the approximation of matrices
Luis Rademacher (The Ohio State University)
High Dimensional Phenomena
September 28, 2011 Tutorial - SDP, GFA, ETC...
Alexandre d'Aspremont (Princeton University)
High Dimensional Phenomena
September 28, 2011 Estimating Population Eigenvalues From Large Dimensional Sample Covariance Matrices
Jack Silverstein (North Carolina State University)
High Dimensional Phenomena
September 27, 2011 Tutorial - User-friendly tail bound for sums of random matrices
Joel Tropp (California Institute of Technology)
High Dimensional Phenomena
September 29, 2011 Greedy approximation in compressed sensing
Vladimir Temlyakov (University of South Carolina)
High Dimensional Phenomena
September 29, 2011 Tutorial - Structured sparsity-inducing norms through submodular functions
Francis Bach (École Normale Supérieure)
High Dimensional Phenomena
February 11, 2011 Large Scale Information Extraction from the Web
Sathiya Keerthi (Yahoo! Inc.)
Large Scale Information Extraction from the Web - S. Sathiya Keerthi (Machine Learning Group, Yahoo! Research)
October 08, 2010 Challenges and Solutions in Clinical Image Analysis
Osama Masoud (ViTAL Images, Inc.)
Challenges and Solutions in Clinical Image Analysis - Osama Masoud (Vital Images)
March 25, 2011 Design Optimization in Automotive Industry
Ren-Jye Yang (Ford Motor Company)
Design Optimization in Automotive Industry - Ren-Jye Yang (Ford)
October 29, 2010 Predictive Modeling of Mental States from fMRI Data
Irina Rish (IBM)
Predictive Modeling of Mental States from fMRI Data - Irina Rish (Computational Biology Center, IBM)
November 12, 2010 A Perspective on the Use of Mathematics in Industry
Jeffrey Abell (General Motors Corporation)
A Perspective on the Use of Mathematics in Industry - Jeffrey A. Abell (General Motors) [Special IPS]
April 13, 2011 Recommender Systems for Fun and Profit
Chris Volinsky (AT&T Laboratories - Research)
Recommender Systems for Fun and Profit
September 13, 2010 Biocompatibility from the host's point of view


Howard Winet (University of California, Los Angeles)
Medical Device-Biological Interactions at the Material-Tissue Interface
September 13, 2010 Modeling of bacterial swarming on different surfaces
Mark Alber (University of Notre Dame)
Medical Device-Biological Interactions at the Material-Tissue Interface
September 13, 2010 The biology of biofilms




Edgardo Sanabria-Valentín (Harvard Medical School)
Medical Device-Biological Interactions at the Material-Tissue Interface
September 13, 2010 Stem cell differentiation and the influence of microenvironment




Dennis Discher (University of Pennsylvania)
Medical Device-Biological Interactions at the Material-Tissue Interface
September 13, 2010 Implantable medical devices – we have come a long way, but where

next?

Darrel Untereker (Medtronic)
Medical Device-Biological Interactions at the Material-Tissue Interface
September 13, 2010 Continuum models of biofilms


Isaac Klapper (Montana State University)
Medical Device-Biological Interactions at the Material-Tissue Interface
September 13, 2010 Panel discussion on the topics of the day: major areas, challenges, and opportunities

Medical Device-Biological Interactions at the Material-Tissue Interface
September 14, 2010 Gastrointestinal electrical stimulation: potential applications


Jiande Chen (University of Texas Medical Branch)
Medical Device-Biological Interactions at the Material-Tissue Interface
September 14, 2010 Deep brain stimulation models of the electrode-tissue interface
Cameron McIntyre (Case Western Reserve University)
Medical Device-Biological Interactions at the Material-Tissue Interface
September 14, 2010 Understanding the fluid dynamics of microorganisms: successes and challenges
Lisa Fauci (Tulane University)
Medical Device-Biological Interactions at the Material-Tissue Interface
September 14, 2010 An introduction to the mathematical modeling of blood clotting
Aaron Fogelson (The University of Utah)
Medical Device-Biological Interactions at the Material-Tissue Interface
September 14, 2010 Understanding and manipulating bacterial growth through cell-wall modeling


Kerwyn Huang (Stanford University)
Medical Device-Biological Interactions at the Material-Tissue Interface
September 13, 2010 Cell-based, hybrid and continuum models of tissue dynamics: when to

use which where — ?

Hans Othmer (University of Minnesota, Twin Cities)
Medical Device-Biological Interactions at the Material-Tissue Interface
September 14, 2010 Biomedical applications of heat transfer: Rare cell

preservation to diseased cell destruction

John Bischof (University of Minnesota, Twin Cities)
Medical Device-Biological Interactions at the Material-Tissue Interface
September 14, 2010 Challenges in making MRI safe implantable devices


WanZhan Liu (Medtronic)
Medical Device-Biological Interactions at the Material-Tissue Interface
September 14, 2010 Mathematical tools in biomedical image processing
Chiu-Yen Kao (The Ohio State University)
Medical Device-Biological Interactions at the Material-Tissue Interface
September 13, 2010 Welcome to the IMA
Markus Keel
Medical Device-Biological Interactions at the Material-Tissue Interface
September 14, 2010 Panel discussion on the topics of the day: major areas, challenges, and opportunities

Medical Device-Biological Interactions at the Material-Tissue Interface
September 13, 2010 Workshop opening and housekeeping


Suping Lyu (Medtronic), Qing Nie (University of California)
Medical Device-Biological Interactions at the Material-Tissue Interface
November 09, 2010 Burst, Cascades, and Hot Spots: A Glimpse of Some On-line Social Phenomena at Global Scales
Jon Kleinberg (Cornell University)
Burst, Cascades, and Hot Spots: A Glimpse of Some On-Line Social Phenomena at Global Scales
September 21, 2010 How Financial Engineering Can Cure Cancer, Solve the Energy Crisis, and Stop Global Warming
Andrew Lo (Massachusetts Institute of Technology)
How Financial Engineering Can Cure Cancer, Solve the Energy Crisis, and Stop Global Warming
November 05, 2010 Welcome to the IMA
Fadil Santosa
Finite Element Circus featuring a Scientific Celebration of Falk, Pasciak, and Wahlbin
November 05, 2010 Plenary talk: On the lumped mass finite element method for

parabolic problems

Vidar Thomée (Chalmers University of Technology)
Finite Element Circus featuring a Scientific Celebration of Falk, Pasciak, and Wahlbin
November 06, 2010 Plenary talk: Analysis of a Cartesian PML approximation to an acoustic

scattering problem

James Bramble (Texas A & M University)
Finite Element Circus featuring a Scientific Celebration of Falk, Pasciak, and Wahlbin
November 06, 2010 Plenary talk: Canonical families of finite elements
Douglas Arnold (University of Minnesota, Twin Cities)
Finite Element Circus featuring a Scientific Celebration of Falk, Pasciak, and Wahlbin
June 06, 2011 Confidence in Image Reconstruction
Dianne O'Leary (University of Maryland)
Large-scale Inverse Problems and Quantification of Uncertainty
June 07, 2011 Ensemble-based methods: filters, smoothers and iteration
Dean Oliver (University of Bergen)
Large-scale Inverse Problems and Quantification of Uncertainty
June 07, 2011 Spatial categorical inversion: Seismic inversion into lithology/fluid classes
Henning Omre (Norwegian University of Science and Technology (NTNU))
Large-scale Inverse Problems and Quantification of Uncertainty
June 08, 2011 Data Assimilation and Efficient Forward Modeling for Subsurface Flow
Louis Durlofsky (Stanford University)
Large-scale Inverse Problems and Quantification of Uncertainty

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