Scaffolding Simulations with Deep Learning for High-Dimensional Deconvolution
simDL Workshop at ICLR 2021, virtual, May 2021.

Amplifying Statistics with Ensembles of Generative Models
simDL Workshop at ICLR 2021, virtual, May 2021.

Deep learning with low-level features: A free lunch?
BOOST 2019, MIT, USA, July 2019.

Learning when you know (almost) nothing: Techniques for machine learning directly from (unlabeled) data
Connecting the Dots 2018, Seattle, USA, March 2018.

Survey of Machine Learning Techniques for High Energy Electromagnetic Shower Classification
Workshop on Deep Learning for Physical Sciences (DLPS 2017), NIPS 2017, Long Beach, USA, Dec. 2017.

Jet Substructure at 13 TeV with the ATLAS Detector
APS Division of Particles and Fields, Ann Arbor, USA, August 2015.

Measurement of Colour Flow with the Jet Pull Angle in ttbar events at sqrt(s) = 8 TeV
ATLAS week, CERN, June 2015.

Pushing the Limits by Looking Within: Jet Substructure with the ATLAS Detector
LHCC, CERN, March 2015.

Jet Charge with the ATLAS detector using sqrt(s) = 8 TeV pp collision data
Large Hadron Collider Physics (LHCP) Conference, New York, USA, June 2014.

Discriminating W and Z Bosons in hadronic decays to jets
Stanford Admitted Student Open House, Spring, 2014.

Fuzzy Jets: An Inherently Probabilistic Clustering Scheme for High Energy Physics
Methods for Applied Statistics: Unsupervised Learning (Stats 306B), Stanford, Spring 2014.

Search for Top Squark Pair Production
EPS-HEP, Stockholm, July, 2013.

Top Squark Pair Production
European School of High Energy Physics, Paradfurdo, Hungary, June, 2013.

Droplet Breakup of the Nematic Liquid Crystal MBBA
Microscale Interactions in Aquatic Environments Symposium, Les Houches, France, March, 2013.

Measuring the Top Quark Mass using Kinematic Endpoints
TOP2012, Winchester, UK, September, 2012.
Journal of Physics: Conference Series 452 (2013) 012056