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February 12, 2018 |
A Putative Channel Driving Spreading Depolarization
R. David Andrew (Queen's University) |
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena |
|
February 16, 2018 |
Integrating electrophysiology, cerebral metabolism and blood flow: Towards a predictive computational framework
Erkki Somersalo (Case Western Reserve University) |
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena |
|
February 12, 2018 |
Coarse-Graining to Investigate Dynamic Cerebrocortical Disorders
Kentaroh Takagaki (Leibniz Institute for Neurobiology ) |
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena |
|
February 12, 2018 |
Towards State Dependent Control of Brain Circuitry
Steven Schiff (The Pennsylvania State University) |
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena |
|
February 12, 2018 |
The Pump Leak Mechanism, Impermeant Molecules and Cell Volume Regulation
Alan Kay (The University of Iowa) |
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena |
|
February 13, 2018 |
A Multiphasic Continuum Model of Cortical Spreading Depression
Rosemary O'Connell (University of Minnesota, Twin Cities) |
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena |
|
February 13, 2018 |
A mechanistic view of cortical spreading depression using data from microelectrode arrays: From transmembrane currents to spiking
Jorge Riera (Florida International University) |
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena |
|
February 13, 2018 |
Role of Gap Junctions in a Neuron Astrocyte Network Model
David Terman (The Ohio State University) |
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena |
|
February 14, 2018 |
The impact of complex network structure on seizure activity induced by depolarization block
Duane Nykamp (University of Minnesota, Twin Cities) |
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena |
|
February 14, 2018 |
Multiscale modeling of stroke and vascular dementia
William Lytton (SUNY Downstate Medical Center) |
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena |
|
February 14, 2018 |
The role of oxygen on the dynamics of seizure and spreading depression
Yina Wei (University of California, San Diego) |
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena |
|
February 14, 2018 |
Patient-specific computational modeling of cortical spreading depression via diffusion tensor imaging
Luca Gerardo Giorda (Basque Center for Applied Mathematics) |
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena |
|
February 15, 2018 |
Ionic homeostasis and epileptogenesis
Maksim Bazhenov (University of California, San Diego) |
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena |
|
February 15, 2018 |
A multiscale model of cerebral blood flow regulation: K+ mediated neurovascular coupling in capillaries and arteries.
Nikolaos Tsoukias (Florida International University) |
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena |
|
February 15, 2018 |
An Inhibitory Leading Edge Precedes Spreading Depolarization
Theoden Netoff (University of Minnesota, Twin Cities) |
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena |
|
August 22, 2017 |
Computing rational points on curves in Sage
Jennifer Balakrishnan (Boston University) |
Sage Days: Opening Workshop for a Year of Coding Sprints |
|
August 21, 2017 |
Graphs as Statistical Objects
Tom Denton (Google Inc.) |
Sage Days: Opening Workshop for a Year of Coding Sprints |
|
August 21, 2017 |
Open Source Tools for Optimization in Python
Ted Ralphs (Lehigh University) |
Sage Days: Opening Workshop for a Year of Coding Sprints |
|
August 21, 2017 |
The many ways of computing with real numbers
Vincent Delecroix (Université de Bordeaux II (Victor Segalen)) |
Sage Days: Opening Workshop for a Year of Coding Sprints |
|
August 24, 2017 |
Number Theory in Sage
Kiran Kedlaya (University of California, San Diego) |
Sage Days: Opening Workshop for a Year of Coding Sprints |
|
August 24, 2017 |
Computations in Number Theory
Alyson Deines (Center for Communications Research) |
Sage Days: Opening Workshop for a Year of Coding Sprints |
|
August 22, 2017 |
Sage-Enabled Textbooks
Rob Beezer (University of Puget Sound) |
Sage Days: Opening Workshop for a Year of Coding Sprints |
|
August 22, 2017 |
Connections between resources
David Farmer (American Institute of Mathematics (AIM)) |
Sage Days: Opening Workshop for a Year of Coding Sprints |
|
August 23, 2017 |
Pyomo: An Open Source Library for Modeling and Solving Mathematical Programs
Jean-Paul Watson (Sandia National Laboratories) |
Sage Days: Opening Workshop for a Year of Coding Sprints |
|
August 23, 2017 |
Experimental Coxeter Group Theory
Jean-Philippe Labbe (Freie Universität Berlin) |
Sage Days: Opening Workshop for a Year of Coding Sprints |
|
August 21, 2017 |
Welcome and introduction
Benjamin Brubaker (University of Minnesota, Twin Cities), Gregg Musiker (University of Minnesota, Twin Cities) |
Sage Days: Opening Workshop for a Year of Coding Sprints |
|
August 23, 2017 |
CoCalc and SageMath in service of Ximera
James Fowler (The Ohio State University) |
Sage Days: Opening Workshop for a Year of Coding Sprints |
|
August 21, 2017 |
An Introduction to SageMath
Franco Saliola (University of Quebec) |
Sage Days: Opening Workshop for a Year of Coding Sprints |
|
August 23, 2017 |
Educational technology in the large mathematics classroom
Duane Nykamp (University of Minnesota, Twin Cities) |
Sage Days: Opening Workshop for a Year of Coding Sprints |
|
August 21, 2017 |
Features we have and want in combinatorics in Sage
Anne Schilling (University of California, Davis) |
Sage Days: Opening Workshop for a Year of Coding Sprints |
|
August 22, 2017 |
An introduction to p-adics in Sage
David Roe (University of Pittsburgh) |
Sage Days: Opening Workshop for a Year of Coding Sprints |
|
August 21, 2017 |
An introduction to cluster superalgebras
Ashish Srivastava (Saint Louis University) |
Sage Days: Opening Workshop for a Year of Coding Sprints |
|
August 24, 2017 |
Automating the proof of an analogue of Matsumoto's theorem
Eric Marberg (Hong Kong University of Science and Technology) |
Sage Days: Opening Workshop for a Year of Coding Sprints |
|
March 28, 2018 |
Evaporation of non-spherical sessile drops
Pedro Saenz (Massachusetts Institute of Technology) |
Dynamic Contact Lines: Progress and Opportunities |
|
March 26, 2018 |
Dynamic wetting failure via free-surface cusps
Jens Eggers (University of Bristol) |
Dynamic Contact Lines: Progress and Opportunities |
|
March 27, 2018 |
The Dynamics of Evaporating Droplets
Stephen Wilson (University of Strathclyde) |
Dynamic Contact Lines: Progress and Opportunities |
|
March 26, 2018 |
Challenges of modelling the moving contact line problem and recent progress: bridging scales from the nano- to the macroscale
Serafim Kalliadasis (Imperial College London) |
Dynamic Contact Lines: Progress and Opportunities |
|
March 26, 2018 |
Drops on soft surfaces
Jacco Snoeijer (Universiteit Twente) |
Dynamic Contact Lines: Progress and Opportunities |
|
March 28, 2018 |
Alternative mechanism for ring-like deposition during evaporation of colloidal sessile drops
Hassan Masoud (Michigan Technological University) |
Dynamic Contact Lines: Progress and Opportunities |
|
March 26, 2018 |
Dynamic Contact Angle Measurements on Superhydrophobic and Lubricant Infused Surfaces
Jonathan Rothstein (University of Massachusetts) |
Dynamic Contact Lines: Progress and Opportunities |
|
March 28, 2018 |
Forced wetting transition and bubble pinch-off in a capillary tube
Amir Pahlavan (Massachusetts Institute of Technology) |
Dynamic Contact Lines: Progress and Opportunities |
|
March 26, 2018 |
Droplet depinning in wind
Sungyon Lee (University of Minnesota, Twin Cities) |
Dynamic Contact Lines: Progress and Opportunities |
|
March 26, 2018 |
On waiting time solutions, contact angles and stability of steady states in thin film models
Marina Chugunova (Claremont Graduate University) |
Dynamic Contact Lines: Progress and Opportunities |
|
March 26, 2018 |
Large scale direct numerical simulations of dewetting transition
Shahriar Afkhami (New Jersey Institute of Technology) |
Dynamic Contact Lines: Progress and Opportunities |
|
March 26, 2018 |
Hopping the Contact Line
Stephen Garoff (Carnegie Mellon University) |
Dynamic Contact Lines: Progress and Opportunities |
|
March 28, 2018 |
Dynamics of drop impact on solid surfaces: Evolution of impact force and self-similar spreading
Xiang Cheng (University of Minnesota, Twin Cities) |
Dynamic Contact Lines: Progress and Opportunities |
|
March 27, 2018 |
Three ways of getting contact lines to move without breaking the no-slip boundary condition
Eugene Benilov (University of Limerick) |
Dynamic Contact Lines: Progress and Opportunities |
|
March 27, 2018 |
Rapidly moving dynamical contact lines: an inertial-capillary perspective
Paul Steen (Cornell University) |
Dynamic Contact Lines: Progress and Opportunities |
|
March 27, 2018 |
Electrostatic interactions, vapor diffusion, and Stefan flow near contact lines
Vladimir Ajaev (Southern Methodist University) |
Dynamic Contact Lines: Progress and Opportunities |
|
March 27, 2018 |
Stability of fluid films of nanoscale thickness involving contact lines
Lou Kondic (New Jersey Institute of Technology) |
Dynamic Contact Lines: Progress and Opportunities |
|
March 27, 2018 |
Electrokinetics of particles on a fluid-fluid interface
Petia Vlahovska (Northwestern University) |
Dynamic Contact Lines: Progress and Opportunities |
|
March 27, 2018 |
Squeeze film analysis of a shear thinning fluid drop: Power-law versus Ellis fluid models
Thomas Ward III (Iowa State University) |
Dynamic Contact Lines: Progress and Opportunities |
|
March 27, 2018 |
Evaporation of Sessile Drops on Rough Surfaces
George Homsy (University of Washington) |
Dynamic Contact Lines: Progress and Opportunities |
|
September 15, 2017 |
Causal Interaction in Factorial Experiments: Application to Conjoint Analysis
Kosuke Imai (Princeton University) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 15, 2017 |
Propensity score calipers and the overlap condition
Ben Hansen (University of Michigan) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 15, 2017 |
Efficient Policy Learning
Stefan Wager (Stanford University) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 14, 2017 |
Welcome and introduction
Daniel Spirn |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 15, 2017 |
Doubly-robust estimation of shared-parameter adaptive treatment strategies
Erica Moodie (McGill University) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 14, 2017 |
Keynote: Personalizing Autism Care Through Machine Learning on Mobile Systems
Dennis Wall (Stanford University) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 15, 2017 |
A Sequential Conditional Test for Medical Decision Making
Min Qian (Columbia University) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 14, 2017 |
Epigenomic programs in immune cells and response to immunotherapy
Christina Leslie (Memorial Sloan-Kettering Cancer Center) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 15, 2017 |
Individualized Fusion Learning (iFusion) with Applications to Personalized Inference
Minge Xie (Rutgers, The State University Of New Jersey) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 14, 2017 |
Assessment of intra-tumor genetic heterogeneity in lung cancer
Subhajyoti De (Rutgers Cancer Institute of New Jersey) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 15, 2017 |
Maximin-Projection Learning for Optimal Treatment Decision with Heterogeneous Data
Wenbin Lu (North Carolina State University) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 14, 2017 |
Epigenetic Drift in Barrett's Esophagus: a biomarker of esophageal cancer risk
Georg Luebeck (Fred Hutchinson Cancer Research Center) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 16, 2017 |
Applying Neural Networks to Predict Antibiotic-Resistant Bacterial Infection from Shotgun Metagenomic Data
David Haslam (Cincinnati Childrens Hospital Medical Center) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 14, 2017 |
Tutorial: List-based treatment regimes
Eric Laber (North Carolina State University) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 16, 2017 |
Lecture
Peter Tonellato (Harvard Medical School) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 14, 2017 |
Estimating Individual-Level and Population-Level Causal Effects of Organ Transplantation Treatment Regimes
David Vock (University of Minnesota, Twin Cities) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 16, 2017 |
Optimal Decision Support Rules Improve Personalize Warfarin Treatment Outcomes
Chih-Lin (Jake) Chi (University of Minnesota, Twin Cities) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 14, 2017 |
New biomarker-adaptive designs of clinical trial for precision medicine
Feifang Hu (George Washington University) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 16, 2017 |
Emerging Biomarkers in Individualized Medicine
George Vasmatzis (Mayo Clinic) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 14, 2017 |
Change-Plane Analysis for Subgroup Detection and Sample Size Calculation
Rui Song (North Carolina State University) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 16, 2017 |
Immuno-Oncology Therapies and Precision Medicine: Personal Tumor-Specific Neoantigen Prediction by Machine Learning
Yi-Hsiang Hsu (Harvard Medical School) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 14, 2017 |
Quantile-Optimal Treatment Regimes
Lan Wang (University of Minnesota, Twin Cities) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 15, 2017 |
Treatment Allocations Based on Multi-Armed Bandit Strategies
Yuhong Yang (University of Minnesota, Twin Cities) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 14, 2017 |
Stabilized Dynamic Treatment Regimes
Yingqi Zhao (Fred Hutchinson Cancer Research Center) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 15, 2017 |
Keynote: Recent advances in outcome weighted learning for precision medicine
Michael Kosorok (University of North Carolina, Chapel Hill) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 16, 2017 |
Modeling and Validating Pharmacological Regulation of Circadian Rhythm
Jae Kyoung Kim (Korea Advanced Institute of Science and Technology (KAIST)) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 15, 2017 |
Discovering Effect Modification in Observational Studies
Dylan Small (University of Pennsylvania) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
July 26, 2017 |
Panel Discussion 4: Grand Challenges in Healthcare Operations and Medical Decision Making |
Industrial Mathematics Workshop and Clinic: Collaboratively Tackling Emerging Problems in Industry |
|
July 26, 2017 |
Closing remarks
Saif Benjaafar (University of Minnesota, Twin Cities), Ankur Mani (University of Minnesota, Twin Cities), Zizhuo Wang (University of Minnesota, Twin Cities) |
Industrial Mathematics Workshop and Clinic: Collaboratively Tackling Emerging Problems in Industry |
|
July 24, 2017 |
Inventory Management and Order Fulfillment for Online Retailing
Stephen Graves (Massachusetts Institute of Technology) |
Industrial Mathematics Workshop and Clinic: Collaboratively Tackling Emerging Problems in Industry |
|
July 24, 2017 |
Returns Mitigation through Customer Experience Improvement
Lisa Cotter (Best Buy) |
Industrial Mathematics Workshop and Clinic: Collaboratively Tackling Emerging Problems in Industry |
|
July 24, 2017 |
From Air Traffic Management to Finding a Parking Space: Dynamically Assigning Destination Resources while Enroute
Michael Ball (University of Maryland) |
Industrial Mathematics Workshop and Clinic: Collaboratively Tackling Emerging Problems in Industry |
|
July 24, 2017 |
Trucking: A near perfect marketplace facing a portfolio of disruptive influencers
Steve Raetz (CH Robinson) |
Industrial Mathematics Workshop and Clinic: Collaboratively Tackling Emerging Problems in Industry |
|
July 25, 2017 |
Understanding Commuter Behavior in Smart Transportation Systems
Karan Girotra (INSEAD) |
Industrial Mathematics Workshop and Clinic: Collaboratively Tackling Emerging Problems in Industry |
|
July 24, 2017 |
Welcome and introduction
Saif Benjaafar (University of Minnesota, Twin Cities), Daniel Spirn (University of Minnesota, Twin Cities) |
Industrial Mathematics Workshop and Clinic: Collaboratively Tackling Emerging Problems in Industry |
|
July 25, 2017 |
Models and Algorithms for the Design and Operation of Bike-sharing Systems
David Shmoys (Cornell University) |
Industrial Mathematics Workshop and Clinic: Collaboratively Tackling Emerging Problems in Industry |
|
July 24, 2017 |
Online Bipartite Matching with Applications to Revenue Management
David Simchi-Levi (Massachusetts Institute of Technology) |
Industrial Mathematics Workshop and Clinic: Collaboratively Tackling Emerging Problems in Industry |
|
July 26, 2017 |
Mitigating Information Asymmetry in Liver Allocation
Andrew Schaefer (Rice University) |
Industrial Mathematics Workshop and Clinic: Collaboratively Tackling Emerging Problems in Industry |
|
July 24, 2017 |
Panel Discussion 1: Grand Challenges in Retail Analytics and Inventory Management |
Industrial Mathematics Workshop and Clinic: Collaboratively Tackling Emerging Problems in Industry |
|
July 26, 2017 |
Operations Research in Health Care: The Science/Practice Continuum
Kalyan Pasupathy (Mayo Clinic) |
Industrial Mathematics Workshop and Clinic: Collaboratively Tackling Emerging Problems in Industry |
|
July 24, 2017 |
From stochastic search to bandit problems to dynamic programs: Fresh perspectives of some old problems
Warren Powell (Princeton University) |
Industrial Mathematics Workshop and Clinic: Collaboratively Tackling Emerging Problems in Industry |
|
July 25, 2017 |
Panel Discussion 2: Grand Challenges in Smart Transportation and Logistics |
Industrial Mathematics Workshop and Clinic: Collaboratively Tackling Emerging Problems in Industry |
|
July 25, 2017 |
Rating Systems in Online Marketplaces
Ramesh Johari (Stanford University) |
Industrial Mathematics Workshop and Clinic: Collaboratively Tackling Emerging Problems in Industry |
|
July 25, 2017 |
Panel Discussion 3: Grand Challenges in the Sharing Economy |
Industrial Mathematics Workshop and Clinic: Collaboratively Tackling Emerging Problems in Industry |
|
July 26, 2017 |
Healthcare Operations and Medical Decision Making: Where we are and where we might go
Mark Daskin (University of Michigan) |
Industrial Mathematics Workshop and Clinic: Collaboratively Tackling Emerging Problems in Industry |
|
August 14, 2017 |
Open problems and discussion session |
Phaseless Imaging in Theory and Practice: Realistic Models, Fast Algorithms, and Recovery Guarantees |
|
August 17, 2017 |
Open problems and discussion session |
Phaseless Imaging in Theory and Practice: Realistic Models, Fast Algorithms, and Recovery Guarantees |
