*Dimension reduction via score ratio matching,*in NeurIPS 2022 Workshop on Score-Based Methods, ed., 2022.

*Subsurface uncertainty quantification with deep geologic priors: A variational Bayesian framework,*in Second International Meeting for Applied Geoscience & Energy, ed., 2022.

*Sampling via controlled stochastic dynamical systems,*in NeurIPS 2021 workshop: I (Still) Can’t Believe It’s Not Better!, ed., 2021.

*Transport Lagrangian misfit measures and velocity model uncertainty in Bayesian moment tensor inversion,*in First International Meeting for Applied Geoscience & Energy Expanded Abstracts, ed., 2021.

*A low-rank nonlinear ensemble filter for vortex models of aerodynamic flows,*in AIAA Scitech 2021 Forum, ed., 2021.

*Applications of ensemble Kalman filtered vortex modeling to gust–wing interactions,*in AIAA Scitech 2021 Forum, ed., 2021.

*Bayesian seismic inversion: measuring Langevin MCMC sample quality with kernels,*in SEG Technical Program Expanded Abstracts, ed., 2020.

*Higher moment multilevel estimators for optimization under uncertainty applied to wind plant design,*in AIAA Scitech 2020 Forum, ed., 2020.

*Progress in scramjet design optimization under uncertainty using simulations of the HIFiRE Direct Connect Rig,*in AIAA Scitech 2019 Forum, ed., 2019.

*Rare event simulation of rotorcraft systems,*2018 AIAA SciTech Forum and 20th AIAA Non-Deterministic Approaches Conference, 2018.

*Low-rank tensor integration for Gaussian filtering of continuous time nonlinear systems,*56th IEEE Conference on Decision and Control (CDC), 2017.

*Piecewise-Bézier C^1 smoothing on manifolds with application to wind field estimation,*25th European Symposium on Artificial Neural Networks, Computational Intelligence, and Machine Learning (ESANN 2017), 2017.

*Optimal approximations of coupling in multi-disciplinary models,*2017 AIAA SciTech Forum and 19th AIAA Non-Deterministic Approaches Conference, 2017.

*Adaptive construction of measure transports for Bayesian inference,*ed., NIPS 2016 workshop on Advances in Approximate Bayesian Inference, 2016.

*Variational inference via decomposable transports: new algorithms for Bayesian filtering and smoothing,*ed., NIPS 2016 workshop on Advances in Approximate Bayesian Inference, 2016.

*Automated synthesis of low-rank control systems from sc-LTL specifications using tensor-train decompositions,*55th IEEE Conference on Decision and Control (CDC), 2016.

*Data-driven probabilistic boundary layer modeling for airfoil performance prediction,*34th AIAA Applied Aerodynamics Conference, AIAA AVIATION Forum, 2016.

*Efficient high-dimensional stochastic optimal motion control using tensor-train decomposition,*Robotics: Science and Systems (RSS) XI. Rome, Italy., 2015.

*A greedy approach for placement of subsurface aquifer wells in an ensemble filtering framework,*Dynamic Data-Driven Environmental Systems Science (DyDESS), Cambridge, MA., 2015.

*Uncertainty quantification in high-performance computing,*First SIGPLAN Workshop on Probabilistic and Approximate Computing (Collocated with PLDI 2014). Edinburgh, UK., 2014.

*Texton-based segmentation and classification of human embryonic stem cell colonies using multi-stage Bayesian level sets,*9th IEEE International Symposium on Biomedical Imaging (ISBI). Barcelona, Spain., 2012.

*CSP simplification of chemical kinetic systems under uncertainty,*International Workshop on Model Reduction in Reacting Flow/13th International Conference on Numerical Combustion. Corfu, Greece, 2011.

*A unified approach to expectation maximization and level set segmentation applied to stem cell and brain MRI images,*IEEE International Symposium on Biomedical Imaging. Chicago, IL, 2011.

*Optimal Bayesian experimental design for combustion kinetics.,*49th AIAA Aerospace Sciences Meeting. Orlando, FL, 2011.

*Time integration of chemical kinetics with computational singular perturbation and tabulation,*Western States Section of the Combustion Institute, Fall Meeting, Irvine, CA, 2009.

*Time integration of reacting flows with CSP tabulation,*Second International Workshop on Model Reduction in Reacting Flows, Notre Dame, IN, 2009.

*High-order AMR computations of reacting flow with adaptive reduction of chemical stiffness,*SciDAC 2008, Seattle, WA., 2008.

*A Bayesian method for inferring transmission chains in a partially observed epidemic,*Proceedings of the 2008 Joint Statistical Meetings; Denver, CO., 2008.

*Estimating bioterror attacks from patient data: a Bayesian approach,*in Proceedings of the American Statistical Association., RAND/ASA Conference on Quantitative Methods & Statistical Applications in Defense and National Security., Santa Monica, CA, USA, 2006.

*Actuating transverse jets via nozzle-edge vortical perturbations,*AIAA paper 2006-1492, 2006.

*Stochastic spectral methods for efficient Bayesian solution of inverse problems,*Bayesian Inference and Maximum Entropy Methods in Science and Engineering, 2005.

*A quasi-one-dimensional unsteady laminar flame formulation with independent strain rate and curvature,*Third MIT Conference on Computational Fluid and Solid Mechanics, 2005.

*Simulations of high Reynolds number transverse jets and analysis of the underlying vortical structures,*AIAA paper 2005-0308, 2005.

*Lagrangian simulation of a jet in crossflow at finite Reynolds number,*AIAA paper 2005-0291, 2005.

*Impact of hydrogen addition on flame response to stretch and curvature,*AIAA paper 2005-0143, 2005.

*Vorticity formulation for an actuated jet in crossflow,*AIAA paper 2004-0096, 2004.

*Vorticity generation mechanisms and correct boundary conditions for transverse jet simulation,*Proceedings of the Second MIT Conference on Computational Fluid and Solid Mechanics, 2003.

*Mechanism of streamwise vorticity formation in a transverse jet,*AIAA paper 2002-1063, 2002.

*Can a one-dimensional strained flame model flame-vortex interactions?,*Proceedings of the Second Mediterranean Combustion Symposium: 372–383, 2002.

*A flame embedding model for turbulent combustion simulation,*AIAA paper 2000-0866, 2000.

##### Announcements

**May 2022**

Congratulations to Ricardo Baptista for successfully defending his PhD thesis!

**December 2021**

Congratulations to Ben Zhang for successfully defending his PhD thesis!

**September 2021**

Welcome to new UQGroup graduate students Kate Fisher, Julien Luzzatto, and Danny Sharp!

**September 2021**

Congratulations to Andrea Scarinci for successfully defending his PhD thesis!

**August 2021**

Welcome to new postdocs Nisha Chandramoorthy and Matt Li, who both recently completed their PhD degrees at MIT!

**June 2021**

Welcome to new UQGroup graduate students Dimitris Konomis and Josh White!

**June 2021**

Welcome to new postdoc Dallas Foster, who is joining the group after finishing his PhD at Oregon State University!