Campuses:

Talks

Datesort descending Title / Speaker Event
June 04, 2018 Asymptotic harvesting of populations in random environments
Alexandru Hening (Tufts University)
Ecological and Biological Systems
June 04, 2018 Persistence and extinction of some stochastic Kolmogorov systems
Dang Hai Nguyen (Wayne State University)
Ecological and Biological Systems
June 05, 2018 Population models as partial observations of genealogical models
Thomas Kurtz (University of Wisconsin, Madison)
Ecological and Biological Systems
June 05, 2018 From Signaling to Movement -- Mathematical and Computational Problems in Cell Motility
Hans Othmer (University of Minnesota, Twin Cities)
Ecological and Biological Systems
June 05, 2018 Matrix models for the Darwinian dynamics of structured populations and some applications to the threat of extinction from climate change
Jim Cushing (University of Arizona)
Ecological and Biological Systems
June 05, 2018 Mathematical Modeling of Urban Air Quality: A Case Study for Medellin, Colombia
Olga Lucia Quintero Montoya (Universidad EAFIT)
Data Science Seminar
June 05, 2018 Large deviations for models in Systems Biology
Lea Popovic (Concordia University)
Ecological and Biological Systems
June 05, 2018 Multiscale stochastic reaction-diffusion algorithms for biochemical networks
Hye-Won Kang (University of Maryland Baltimore County)
Ecological and Biological Systems
June 06, 2018 Techniques for Model Comparison for Stochastic Models: CTMC,SDE, RDE
H.T. Banks (North Carolina State University)
Ecological and Biological Systems
June 06, 2018 The Probability and Duration of Epidemics in Stochastic Multistage or Multigroup Models
Linda Allen (Texas Tech University)
Ecological and Biological Systems
June 06, 2018 Role of epigenetics in cancer drug resistance
Jasmine Foo (University of Minnesota, Twin Cities)
Ecological and Biological Systems
June 07, 2018 Chronic Hepatitis B virus and Liver fibrosis
Avner Friedman (The Ohio State University)
Ecological and Biological Systems
June 07, 2018 The Insulin Signaling Pathway and Growth Regulation
Peter Bates (Michigan State University)
Ecological and Biological Systems
June 07, 2018 Coexistence and extinction for stochastic difference equations
Sebastian Schreiber (University of California, Davis)
Ecological and Biological Systems
June 07, 2018 Population Systems: Stochastic versus Deterministic
Xuerong Mao (University of Strathclyde)
Ecological and Biological Systems
June 08, 2018 Parallel in time steady state averaging of multi-scale biochemical reaction kinetics
Ting Wang (University of Delaware)
Ecological and Biological Systems
June 08, 2018 Multi-scale Dynamics and Information: Data Driven and Random Dynamical Systems
Navaratnam Sri Namachivaya (University of Illinois at Urbana-Champaign)
Ecological and Biological Systems
June 08, 2018 SDEs and SDDEs in population dynamics
Chenggui Yuan (Swansea University)
Ecological and Biological Systems
June 11, 2018 Predictable forward performance processes: The binomial case
Thaleia Zariphopoulou (The University of Texas at Austin)
Financial and Economic Applications
June 11, 2018 Optimal Execution Problem under McKean-Vlasov Liquidity Dynamics
Jin Ma (University of Southern California)
Financial and Economic Applications
June 11, 2018 Portfolio Optimization Problems for Models with Delays
Tao Pang (North Carolina State University)
Financial and Economic Applications
June 11, 2018 The value of foresight
Philip Ernst (Rice University)
Financial and Economic Applications
June 11, 2018 Stock Loan Valuation Under Brownian Motion-Based and Markov Chain Stock Models
David Prager (Anderson University)
Financial and Economic Applications
June 12, 2018 Model Uncertainty Stochastic Mean-Field Control with Applications to Finance
Bernt Oksendal (University of Oslo)
Financial and Economic Applications
June 12, 2018 Variance Swaps on Time-Changed Markov Processes
Roger Lee (University of Chicago)
Financial and Economic Applications
June 12, 2018 Optimal Extraction and Taxation of Strategic Natural Resources: A Differential Game Approach
Moustapha Pemy (Towson State University)
Financial and Economic Applications
June 12, 2018 Exit problem driven by alpha-stable process and its PDE characterization
Qingshuo Song (City University of Hong Kong)
Financial and Economic Applications
June 13, 2018 Stopping Behaviors of Naive and Non-Committed Sophisticated Agents
Xunyu Zhou (Columbia University)
Financial and Economic Applications
June 13, 2018 Portfolio diversification and model uncertainty: a robust dynamic mean-variance approach
Huyen Pham (Université de Paris VII (Denis Diderot))
Financial and Economic Applications
June 13, 2018 Large tournament games
Jaksa Cvitanic (California Institute of Technology)
Financial and Economic Applications
June 13, 2018 Viscosity Solutions to Parabolic Master Equations
Jianfeng Zhang (University of Southern California)
Financial and Economic Applications
June 14, 2018 Nonlinear Valuation in Theory and Practice
Dilip Madan (University of Maryland)
Financial and Economic Applications
June 14, 2018 Derivatives Pricing in Nonlinear Models
Tom Bielecki (Illinois Institute of Technology)
Financial and Economic Applications
June 14, 2018 Valuing Equity-Linked Insurance Products
Hailiang Yang (University of Hong Kong)
Financial and Economic Applications
June 15, 2018 Optimal Asset Allocation with Stochastic Interest Rates in Regime-Switching Models
Ruihua Liu (University of Dayton)
Financial and Economic Applications
June 15, 2018 Efficient Simulation of Generalized SABR and Stochastic Local Volatility Models
Duy Nguyen (Marist College)
Financial and Economic Applications
June 15, 2018 On A Corporate Bond Pricing Model With Credit Rating Migration Risks and Stochastic Interest Rate
Hong-Ming Yin (Washington State University)
Financial and Economic Applications
June 18, 2018 Lecture
Richard James (University of Minnesota, Twin Cities)
Working Group on Multiscale Strategies
June 18, 2018 Challenges and recent progress in large-scale electronic structure calculations
Vikram Gavini (University of Michigan)
Working Group on Multiscale Strategies
June 19, 2018 Mechanics using quantum mechanics
Phanish Suryanarayana (Georgia Institute of Technology)
Working Group on Multiscale Strategies
June 20, 2018 A Hamilton-Jacobi theory for the hydrodynamic limit large deviation of nonlinear heat equation from stochastic Carleman particles
Jin Feng (University of Kansas)
Working Group on Multiscale Strategies
June 20, 2018 On fluctuations in particle systems and their scaling limits
Johannes Zimmer (University of Bath)
Working Group on Multiscale Strategies
June 21, 2018 Symmetry, deformations and the search for unprecedented materials from first principles
Amartya Banerjee (Lawrence Berkeley National Laboratory)
Working Group on Multiscale Strategies
June 22, 2018 Microstructure, wrinkling and origami in nematic elastomer sheets
Paul Plucinsky (University of Minnesota, Twin Cities)
Working Group on Multiscale Strategies
June 25, 2018 Long time behaviour and phase transitions for the McKean-Vlasov equation
Grigorios Pavliotis (Imperial College London)
Working Group on Multiscale Strategies
June 25, 2018 Coarse-graining out of equilibrium: from particles to dissipative PDEs
Celia Reina (University of Pennsylvania)
Working Group on Multiscale Strategies
June 26, 2018 Model-Form Uncertainty Quantification for Probabilistic Graphical Models and Applications to Electronic-Structure-based Chemical Kinetics
Markos Katsoulakis (University of Massachusetts)
Working Group on Multiscale Strategies
June 26, 2018 A Survey of Recent Results on Mass Transport
Gideon Simpson (Drexel University)
Working Group on Multiscale Strategies
June 27, 2018 Anomalous diffusion in two homogenization problems
Gautam Iyer (Carnegie Mellon University)
Working Group on Multiscale Strategies
June 27, 2018 Stability and Convergence of the String Method
Brian Van Koten (University of Chicago)
Working Group on Multiscale Strategies
June 28, 2018 Mechanical Relaxation of Incommensurate 2D Heterostructures in Configuration Space
Mitchell Luskin (University of Minnesota, Twin Cities)
Working Group on Multiscale Strategies
August 10, 2018 Mathematics of Big Data & Machine Learning
Jeremy Kepner (Massachusetts Institute of Technology)
Data Science Seminar
August 13, 2018 Introduction to Persistent Homology
Matthew Wright (St. Olaf College)
Tutorial on Multiparameter Persistence, Computation, and Applications
August 13, 2018 Applications of Persistence
Lori Ziegelmeier (Macalester College)
Tutorial on Multiparameter Persistence, Computation, and Applications
August 13, 2018 Computation of Persistent Homology, Part I
Ulrich Bauer (Technical University of Munich)
Tutorial on Multiparameter Persistence, Computation, and Applications
August 13, 2018 An Introduction to Multi-D Persistent Homology
Michael Lesnick (Princeton University)
Tutorial on Multiparameter Persistence, Computation, and Applications
August 13, 2018 Morse Theory and Persistent Homology Computation
Gregory Henselman (University of Pennsylvania)
Tutorial on Multiparameter Persistence, Computation, and Applications
August 14, 2018 Computation of Persistent Homology, Part II
Ulrich Bauer (Technical University of Munich)
Tutorial on Multiparameter Persistence, Computation, and Applications
August 14, 2018 Quiver Representation Theory + Multiparameter Persistence
Magnus Botnan (Vrije Universiteit Amsterdam)
Tutorial on Multiparameter Persistence, Computation, and Applications
August 14, 2018 Visualizing Two-parameter Persistence
Matthew Wright (St. Olaf College)
Tutorial on Multiparameter Persistence, Computation, and Applications
August 14, 2018 Computing Minimal Presentations of Bipersistence Modules in Cubic Time
Michael Lesnick (Princeton University)
Tutorial on Multiparameter Persistence, Computation, and Applications
August 14, 2018 Statistics for a Computational Topologist, Part I
Brittany Terese Fasy (Montana State University)
Tutorial on Multiparameter Persistence, Computation, and Applications
August 15, 2018 Multiparameter Interleavings
Magnus Botnan (Vrije Universiteit Amsterdam)
Tutorial on Multiparameter Persistence, Computation, and Applications
August 15, 2018 Software Tutorial
Michael Lesnick (Princeton University), Matthew Wright (St. Olaf College)
Tutorial on Multiparameter Persistence, Computation, and Applications
August 15, 2018 Computation with Degree-Rips Bifiltrations
Roy Zhao (University of California, Berkeley)
Tutorial on Multiparameter Persistence, Computation, and Applications
August 15, 2018 Two-Parameter Persistence for Virtual Ligand Screening
Bryn Keller (Intel Corporation)
Tutorial on Multiparameter Persistence, Computation, and Applications
August 15, 2018 Statistics for a Computational Topologist Part II
Brittany Terese Fasy (Montana State University)
Tutorial on Multiparameter Persistence, Computation, and Applications
September 13, 2018 ExxonMobil information sessions for Ph.D. students
Jeremy Bedard (ExxonMobil), Alison Cozard (ExxonMobil)
Industrial Problems Seminar
September 14, 2018 ExxonMobil information sessions for Ph.D. students
Jeremy Bedard (ExxonMobil), Alison Cozard (ExxonMobil)
Industrial Problems Seminar
September 14, 2018 The Unfulfilled Fourth Industrial Revolution
Marcus Braun (DataRobot)
Industrial Problems Seminar
September 17, 2018 The Role of the Translation Distribution in Multi-reference Alignment
William Leeb (University of Minnesota, Twin Cities)
Data Science Seminar
September 17, 2018 ExxonMobil information sessions for Ph.D. students
Jeremy Bedard (ExxonMobil), Alison Cozard (ExxonMobil)
Industrial Problems Seminar
September 24, 2018 Genetics of mRNA and Protein Expression in Large Yeast Populations
Frank Albert (University of Minnesota, Twin Cities)
Data Science Seminar
September 28, 2018 If a tree falls in the woods and nobody hears, does it make a sound? (Or, making sure your code runs anywhere.)
Tyler Whitehouse (Gigantum)
Industrial Problems Seminar
October 01, 2018 Scalable Collaboration for Data Science Done in Open Source Tools and Frameworks
Tyler Whitehouse (Gigantum)
Data Science Seminar
October 03, 2018 Spotting Influential Customers for Targeted Offers: From Social to Nonsocial
Georgia Perakis (Massachusetts Institute of Technology)
Forging a New Discipline: Data-driven Supply Chain Management
October 03, 2018 Procurement in the twenty first century: new approaches to old problems
Awi Federgruen (Columbia University)
Forging a New Discipline: Data-driven Supply Chain Management
October 03, 2018 Lecture
David Shmoys (Cornell University)
Forging a New Discipline: Data-driven Supply Chain Management
October 03, 2018 Auction Design for ROI-Constrained Buyers
Ilan Lobel (New York University)
Forging a New Discipline: Data-driven Supply Chain Management
October 03, 2018 Predicting with Proxies
Hamsa Bastani (Wharton School of the University of Pennsylvania)
Forging a New Discipline: Data-driven Supply Chain Management
October 03, 2018 Interpretable Optimal Stopping
Velibor Misic (University of California, Los Angeles)
Forging a New Discipline: Data-driven Supply Chain Management
October 03, 2018 Online Assortment Optimization with Reusable Resources
Vineet Goyal (Columbia University)
Forging a New Discipline: Data-driven Supply Chain Management
October 03, 2018 A Conditional Gradient Approach for Nonparametric Estimation of Mixing Distributions
Srikanth Jagabathula (New York University)
Forging a New Discipline: Data-driven Supply Chain Management
October 04, 2018 Behavioral Analytics for Myopic Agents
Philip Kaminsky (University of California, Berkeley)
Forging a New Discipline: Data-driven Supply Chain Management
October 04, 2018 Approximation Algorithms for Network Revenue Management
Huseyin Topaloglu (Cornell University)
Forging a New Discipline: Data-driven Supply Chain Management
October 04, 2018 Smart Predict, then Optimize
Adam Elmachtoub (Columbia University)
Forging a New Discipline: Data-driven Supply Chain Management
October 04, 2018 Joint pricing and inventory control models with long lead times
Xin Chen (University of Illinois at Urbana-Champaign)
Forging a New Discipline: Data-driven Supply Chain Management
October 04, 2018 Distributionally Robust Linear and Discrete Optimization with Marginals
Karthik Natarajan (Singapore University of Technology and Design)
Forging a New Discipline: Data-driven Supply Chain Management
October 04, 2018 Closing the Gap: A Learning Algorithm for the Lost-Sales Inventory System with Lead Times
Cong Shi (University of Michigan)
Forging a New Discipline: Data-driven Supply Chain Management
October 04, 2018 Dynamic Assortment Planning under Various Discrete Choice Models
Xi Chen (New York University)
Forging a New Discipline: Data-driven Supply Chain Management
October 05, 2018 Lecture
Vivek Farias (Massachusetts Institute of Technology)
Forging a New Discipline: Data-driven Supply Chain Management
October 05, 2018 Where to find the next passenger on e-hailing platform? - A reinforcement learning approach
Sharon Di (Columbia University)
Forging a New Discipline: Data-driven Supply Chain Management
October 05, 2018 Lecture
Krishnamurthy Iyer (Cornell University)
Forging a New Discipline: Data-driven Supply Chain Management
October 05, 2018 Sample-Based Optimal Pricing
Omar Besbes (Columbia University)
Forging a New Discipline: Data-driven Supply Chain Management
October 08, 2018 A PDE Approach to a Prediction Problem Involving Randomized Strategies
Nadejda Drenska (University of Minnesota, Twin Cities)
Data Science Seminar
October 12, 2018 Lecture
Jennifer Schumacher (3M)
Industrial Problems Seminar
October 15, 2018 Free Component Analysis
Raj Nadakuditi (University of Michigan)
Data Science Seminar
October 22, 2018 New Techniques in Optimization and Their Applications to Deep Learning and Related Inverse Problems
Stanley Osher (University of California, Los Angeles)
Recent Advances in Machine Learning and Computational Methods for Geoscience
October 22, 2018 Overview of today’s joint inversion methodology and its future into the machine-learning era for geophysical imaging
Monica Maceira (Oak Ridge National Laboratory)
Recent Advances in Machine Learning and Computational Methods for Geoscience
October 22, 2018 Fast and Accurate Maximum-Likelihood Estimation of Parameterized Spectral Densities that Jointly Characterize Bivariate Two- Dimensional Random Fields
Frederik Simons (Princeton University)
Recent Advances in Machine Learning and Computational Methods for Geoscience

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