The Acheson J. Duncan Lecture Series

The Acheson J. Duncan Lecture Series

In 1986, an anonymous donor established the Acheson J. Duncan Distinguished Visitor Fund to honor the internationally recognized leader in quality control and industrial statistics. The endowment supports an annual visit and lecture by a distinguished mathematical scholar.


About Acheson J. Duncan


Acheson J. Duncan spent 25 years as a faculty member at Hopkins. His extensive writings in the field include the text Quality Control and Industrial Statistics, published in 1952 and now in its fifth edition with several international translations. The late Dean of the Whiting School of Engineering, Robert H. Roy, noted that Dr. Duncan and his work were revered in Japan, where Duncan frequently lectured in the years following World War II. A native of New Jersey, Duncan received his Ph.D. in economics from Princeton in 1936, and was a faculty member there for 13 years before coming to Hopkins. Dr. Duncan died in 1995 at age 90.


Past Lectures

2020: Kavita Ramanan, Brown University- “Beyond Mean-field Limits for Large-scale Stochastic Systems” Duncan Flyer Lecture 12-3-2020

2019: Susan Murphy, Harvard University- “Online Experimentation and Learning Algorithms in a Clinical Trial”

2019: Rina Foygel Barber, University of Chicago- “Robust inference with the knockoff filter.”

2018: Stuart Geman, Brown University- “Real and Artificial Neural Networks”

2017: René Carmona, Princeton University- “Mean Field Games with Major and Minor Players: Theory and Numerics”

2016 – Bin Yu, University of California – “Movie Reconstruction from Brain Signals : Mind-Reading”

2014 – Laurent Saloff-Coste, Cornell University – “Groups and Random Walks” and “Random Walk Invariants of Groups”

2013 – David Siegmund, Stanford University – “The Intersection of Operations Research, Kinetic Theory, and Genetics” and “Detection of Local Signals in Genomics”

2012 – Gerard Ben Arous, New York University – “Counting Critical Points of Random Functions of Many Variables” and “RMT^2: Random Morse Theory Meets Random Matrix Theory”

2011 – Joel Zinn, Texas A&M University – “A Meandering ‘Trip’ through High Dimensions” and “Limit Theorems in High Dimensions”

2010 – Andreas Buja, University of Pennsylvania – “Seeing is Believing: Statistical Visualization for Teaching and Data Analysis” and “Statistical Inference for Exploratory Data Analysis and Model Diagnostics”

2009 – Jonathan Taylor, Stanford University – “Deformation Based Morphometry, Random Fields and Multivariate Linear Models” and “Integral Geometry of Random Level Sets”

2008 – Yali Amit, University of Chicago – “Statistical Models in Computer Vision” and “Estimation of Deformable Object Models”

2007 – Robert Azencourt, University of Houston – “Automatic Learning and Multi-Sensors Diagnosis” and “Ultrasound Image Analysis: Speckle Tracking for Recovery of Cardiac Motion”

2006 – Lawrence A. Shepp, Rutgers University – “Applications of Convexity” and “Problems in Convexity”

2005 – Gregory F. Lawler, Cornell University – “Random Walks: Simple and Self-Avoiding” and “Conformal Invariance, Brownian Loops, and Measures on Random Paths”

2004 – Leo Breiman, University of California, Berkeley – “Random Forests: A Statistical Tool for the Sciences” and “Statistics, Machine Learning, and Data Mining”

2003 – Oded Schramm, Microsoft Research – “Emergence of Symmetry: Conformal Invariance of Scaling Limits of Random Systems” and “Random Triangulations”

2002 – Steven E. Shreve, Carnegie-Mellon University – “Probability Models for Derivative Securities” and “A Unified Model for Credit Derivatives”

2001 – David Donoho, Stanford University – “Interactions Between Data Analysis of Natural Images, Biological Vision, and Mathematical Analysis” and “Beyond Wavelets: Ridgelets, Curvelets, Beamlets”

2000 – Roger J-B Wets, University of California, Davis – “Limit Theorems for Random Lower Semicontinuous Functions with Applications to Statistics, Stochastic Optimization, Probability, and Stochastic Homogenization” and “Stability Issues for Equilibrium Points”

1999 – Ken Alexander, University of Southern California – “Power-Law Corrections to Exponential Decay of Correlations and Connectivities in Lattice Models” and “Droplets and Bubbles: The Mathematical Description of Phase Separation”

1998 – David Pollard, Yale University – “Some Statistical Issues in the Construction of Jury Arrays” and “What is Randomization?”

1997 – Rick Durrett, Cornell University

1996 – Michael Saks, Rutgers University – “Randomness as a Scarce Resource” and “Extractors, Dispersers, and Pseudorandom Generators”

1995 – Michael J. Todd, Cornell University

1994 – David J. Aldous, University of California, Berkeley

1993 – Rudolph Beran, University of California, Davis

1992 – Peter Ney, University of Wisconsin

1991 – Paul D. Seymour, University of Waterloo

1990 – Persi Diaconis, Harvard University

1989 – Ralph L. Disney, Texas A&M University

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