04/13/2026,
Chris Vales (Dartmouth),
Data driven statistical closure of partial differential
equations
04/07/2026,
Jakub Svoboda (Dartmouth),
Effects of Fitness Gradient
03/26/2026,
Katie Lynch (University of Utah),
Structure and consequences of heme acquisition pathways
in Vibrio vulnificus
Winter 2026
03/03/2026,
Daniel Sheldon (UMass Amherst Computer
Science),
The state of the art in differentially private
synthetic data
02/03/2026,
Daphna Weinshall (Hebrew University of
Jerusalem),
Budget-Agnostic Bayesian Active Learning with
Kernel-Weighted Evidence
01/12/2026,
Gabriela Martins (University of
Michigan),
Response across biological scales: from topologically
bound sensitivity to cooperative antibiotic
resistance
01/05/2026,
Tobias Timofeyev (University of
Vermont),
Relating Structure and Function in Dynamical Systems
with Spectral and Topological Methods.
Fall 2025
11/18/2025,
Tom Chou (UCLA),
Tracking structure across growing populations: cancer
mutations and tissue development
10/28/2025,
Nianqiao “Phyllis” Ju (Dartmouth),
Privacy-preserving probabilistic machine learning: a
preview
10/08/2025,
Jie Shen (Eastern Institute of
Technology),
Efficient and Accurate Structure Preserving Schemes for
Complex Nonlinear Systems
09/09/2025,
Malena Español (Arizona State
University),
Variable Projection Methods for Solving Separable
Nonlinear Inverse Problems
Spring 2025
05/20/2025,
Jiayi Chen (Dartmouth),
Exorcising the Curse of Dimensionality for Curvature
Estimation
05/13/2025,
Zhongqiang Zhang (WPI),
Spectral methods for fractional Laplacian on bounded
domains
05/06/2025,
Raghav Singal (Dartmouth),
Peer Review Market Design: Effort-Based Matching and
Admission Control
04/29/2025,
Jonathan Lindbloom (Dartmouth),
Preconditioning techniques for large-scale
sparsity-promoting inverse problems
04/22/2025,
Huy Minh Nguyen (UT Austin),
Mixture of Experts in Large-scale and Multimodal
Models
04/15/2025,
Jané Kondev (Brandeis),
The Scale Invariant Cell
04/08/2025,
Han Gia Le (University of Michigan),
Multi-Species Spin Glass Models at Critical
Temperature
04/08/2025,
Elizabeth Collins-Woodfin (McGill
University),
Multi-Species Spin Glass Models at Critical
Temperature
Winter 2025
03/10/2025,
George Stepaniants (Caltech),
A Spectral Theory of Scalar Volterra
Equations
01/16/2025,
Nianqiao Phyllis Ju (Emory),
[MDS Job Talk] Bayesian Data Analysis with Privatized
Data
01/14/2025,
Nicole Tianjiao Yang (Emory),
[MDS Job Talk] Learning distributions with dynamical
systems
01/10/2025,
Xiucai Ding (UC Davis),
[MDS Job Talk] Multiview manifold learning for
high-dimensional and noisy datasets
01/07/2025,
Suqi Liu (Harvard),
[MDS Job Talk] Neural Knowledge Integration from
Large-Scale Multimodal Health Data
Fall 2024
11/19/2024,
Niels Lörch (University of Basel),
Phase Transitions in the Output Distribution of Large
Language Models
11/19/2024,
Hwai-Ray Tung (University of Utah),
A double dose of topics - responding to missed
antibiotic doses and first passage times under constant
immigration
11/08/2024,
Yujun Yan (Dartmouth),
Enhancing Generalization in Graph Neural Networks:
Challenges and Solutions
11/05/2024,
Keenan Eikenberry (Dartmouth),
Wasserstein Dependence and Representation
Learning
10/22/2024,
Wojciech Jarosz (Dartmouth),
Monte Carlo, from Rendering to PDEs
10/15/2024,
Cris Moore (Santa Fe Institute),
Tensor networks and phase transitions in machine
learning
10/08/2024,
Weiqi Chu (UMass Amherst),
Opinion-dynamics models on temporal networks with
random-time interactions
10/08/2024,
Curtis Grant (Northwestern),
An Introduction to Spin Glasses
10/01/2024,
Zeynep Ertem (Binghamton),
Epidemic Disease Modeling, Contact Networks and
Clustering on Social Networks
Summer 2024
08/06/2024,
Trevor GrandPre (Princeton),
Impact of Linker Length on Biomolecular Condensate
Formation
06/28/2024,
Paula Lorenzo Sánchez (University of
Bologna),
Koopman operator theory for enhanced Pacific SST
forecasting
06/28/2024,
Claire Valva (NYU),
Consistent spectral approximation of Koopman operators:
Applications to climate dynamics
Spring 2024
05/28/2024,
Anton Bovier (UBonn, Germany),
A branching random walk with self repulsion
05/21/2024,
Kui Ren (Columbia),
Inverse problems to mean field game systems: analysis
and computation
05/14/2024,
James Siderius (Dartmouth, Tuck),
How AI Aggregators Affect Knowledge Sharing
05/06/2024,
Bohan Zhou (UC Santa Barbara),
Acceleration for MCMC methods on discrete
states
04/30/2024,
Eva Loeser (UCSD),
Fluid Limit for a Stochastic Model of Enzymatic
Processing with General Distributions
04/23/2024,
Mathieu Le Provost (MIT),
Preserving linear invariants in ensemble filtering
methods
04/16/2024,
Carlo Lucibello (Bocconi University,
Italy),
The Exponential Capacity of Dense Associative
Memories
04/09/2024,
Erik Bates (NCSU),
Parisi formulas in multi-species and vector spin glass
models
04/02/2024,
Asher Leeks (Yale),
The (anti-)social lives of viruses: the emergence of a
new form of viral genome organisation through evolutionary
conflict
03/26/2024,
Wenjun Zhao (Brown),
Optimal transport with covariates: Wasserstein
barycenter and its extensions
Winter 2024
03/12/2024,
Rachael Alfant (Rice),
A Stochastic Programming Approach to Capacity
Allocation for Cloud Computing Systems
03/05/2024,
Chris Vales (UNH),
Energy conservative quadrature based hyperreduction of
Lagrangian hydrodynamics problems
02/27/2024,
Alex McAvoy (UNC Chapel Hill),
Evaluating mutation-selection dynamics in structured
populations
02/21/2024,
Christopher Jones (UNC Chapel Hill),
Optimizing data assimilation for the underlying
numerical solver with motivation from next generation sea
ice models
02/20/2024,
Casey Dowdle (Dartmouth, Mathematics),
Quantum Computing and the Battle for Quantum
Advantage
02/13/2024,
Maryclare Griffin (UMass Amherst),
Testing and estimation for sparsity-inducing power
penalties
02/06/2024,
Jeremy Manning (Dartmouth, PBS),
How do our thoughts take shape?
01/30/2024,
Mario Bencomo (California State U,
Fresno),
Topics in Differential Equations, Inverse Problems, and
Optimal Control
01/16/2024,
Wei Zhu (UMass Amherst),
Symmetry-Preserving Machine Learning: Theory and
Applications
01/09/2024,
Mohammad Javad Latifi Jebelli
(Dartmouth, Mathematics),
Kernel Smoothing Operators on Thick Open
Domains
Fall 2023
11/14/2023,
Georg Stadler (NYU),
Mitigating the nonlinearity in PDEs, with application
to continuous sea ice models
11/07/2023,
Hiroki Sayama (Binghamton),
Studying Social Fragmentation Using Adaptive
Network-based Artificial Society Models
10/31/2023,
Will Thompson (Vermont Complex Systems
Center),
Understanding the Emergence of Inequality with Two
Models of Social Dynamics
10/24/2023,
Aditya Viswanathan (University of
Michigan-Dearborn),
Phaseless Imaging: Fast Algorithms, Recovery
Guarantees, and Applications to Bio-Imaging
10/17/2023,
Heather Zinn Brooks (Harvey Mudd),
Emergence of polarization in a sigmoidal
bounded-confidence model of opinion dynamics
10/10/2023,
Daniel Watkins (Brown),
Dynamics of coupled Arctic air-ice-ocean interactions
from floe scale to basin scale
10/03/2023,
Longmei Shu (Dartmouth, Mathematics),
Dynamics of bimatrix games and a social-climate
model
09/26/2023,
Jacob Scott (Case Western Reserve
University),
Perturbing the evolutionary mechanisms and ecological
forces underlying drug resistance in cancer and pathogens:
evolutionary therapy and formal control
09/19/2023,
Tongtong Li (Dartmouth, Mathematics),
A structurally informed data assimilation approach for
discontinuous state variables
09/12/2023,
Eugene Demidenko (Dartmouth,
Mathematics),
M-statistics: Optimal Statistical Inference for a Small
Sample
Spring 2023
06/06/2023,
Raghav Singal (Dartmouth, Tuck),
Effective Wages under Workforce Scheduling with
Heterogeneous Time Preferences
05/30/2023,
Ethan Levien (Dartmouth, Mathematics),
Evolution in the presence of large (but finite)
offspring fluctuations
05/23/2023,
Ben Allen (Emmanuel College),
Natural selection for collective action
05/16/2023,
Maximilian Ramgraber (MIT),
Adaptive localization in nonlinear ensemble transport
filtering
05/09/2023,
Jason Wei (OpenAI),
Scaling unlocks emergent abilities in language
models
04/11/2023,
Tyler Maunu (Brandeis),
New Approaches to Positive Semidefinite Matrix
Recovery
04/04/2023,
Eugene Santos Jr. (Dartmouth, Thayer),
Learning the Finer Things
03/28/2023,
Matt Jones (Yale),
Nash Equilibrium in a Low-Information Vote Trading
Game
Winter 2023
02/14/2023,
Rob Frost (Dartmouth, Geisel),
Eigenvectors from eigenvalues sparse principal
component analysis
02/07/2023,
David Palmer (MIT),
Applied Geometric Measure Theory from DeepCurrents to
Topological Defects
01/24/2023,
Phil Chodrow (Middlebury College),
Generative Hypergraph Clustering: Scalable Heuristics
and Sparse Thresholds
Fall 2022
11/15/2022,
Matt Colbrook and Alex Townsend
(Cambridge, Cornell),
On spectral computations in infinite dimensions:
Spectral measures, Koopman operators and beyond
11/08/2022,
Yanlai Chen (UMass Dartmouth),
EIM-degradation free RBM via over collocation and
residual hyper reduction and its application to fluid flow
problems and optimal mass transport
10/25/2022,
Alex Barnett (Flatiron Institute),
Equispaced Fourier representations for efficient
Gaussian process regression from a billion data
points
10/18/2022,
Lu Zhang (Columbia University),
Coupling physics-deep learning inversion
10/11/2022,
Pankaj Mehta (Boston University),
Complex systems in high dimensions: from Machine
Learning to Microbial Ecology
10/04/2022,
Gaik Ambartsoumian (UT Arlington),
Broken Rays, Cones, and Stars in Tomography
09/27/2022,
Zachary Kilpatrick (University of
Colorado Boulder),
Stochastic dynamics of decision-making: From
individuals to groups
09/20/2022,
Pete Rigas (Cornell),
Variational quantum algorithm for numerical PDE
solving