**Activities**

September 2022 - Organized Session at 2022 PCIC Conference, Online

June 2022 - Talk at IMS Conference, London

May 2022 - Seminar at Copenhagen Biostatistics

May 2022 - Seminar at EPFL Mathematics, Lausanne

May 2022 - Talk at AMS Spring West Sectional Meeting

March 2022 - Discussant of Foygel. et al (2022), Online Causal Inference Seminar

March-April 2022 - Attending the Causality Program, Simons Institute, Berkeley

April 2022 - AIM SQuaRE on Nested Models, San Jose, California

September 2021 - Presentation at 2021 Pacific Causal Inference Conference

August 2021 - Presentation at OxML Summer School, Graphical and Causal Models for Machine Learning

July 2021 - Talk at Virtual ISI Conference

**Preprints**

a | Modeling Website Visits (with Adrien Hitz) |

b | Nested Markov Properties for Acyclic Directed Mixed Graphs (with Thomas Richardson, James Robins and Ilya Shpitser) |

c | Towards Characterising Bayesian Network Models under Selection (with Angelos Armen) |

d | Parameterizing and Simulating from Causal Models (with Vanessa Didelez) |

e | A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment (with Robert Hu and Dino Sejdinovic) |

f | Regression Identifiability and Edge Interventions in Linear Structural Equation Models (with Bohao Yao) |

**Publications**

**Thesis**

Parametrizations of Discrete Graphical Models, University of Washington, 2011.*Supervisor:*Thomas Richardson.

**Talks**

mDAGs Equivalent to Latent-Free DAGs, Quantum Workshop, Simons Institute

The Inflation Technique, Algebraic Aspects of Causality Reading Group, Simons Program on Causality

Parameterizing and Simulating from Causal Models, Talk at Pacific Causal Inference Conference, September 2021

Faster models for Markov equvialence, Talk at ISI, July 2021

Parameterizing Causal Models, Karolinska and MRC Cambridge Seminars, June 2020

Angles and Model Selection, Technische Universität München, October 2019

Model Selection and Local Geometry - Workshop on Causal inference for complex graphical structures, Montreal, June 2018

Causal Models with Latent Variables - Quantum Networks Workshop, Oxford, August 2017

Geometry of Graphical Model Selection - ICMS, April 2017

Marginal and Causal models - LSHTM, June 2016

Causal models and how to refute them - University of York, November 2015

UAI Tutorial on Causal Models (with video), July 2015

Graphs for margins of Bayesian networks - ERCIM, Pisa, December 2014

Equality constraints on Marginalised DAGs and their uses - Algebraic Statistics Workshop, Daejeon, July 2014

Inequality constraints on Marginalised DAGs - UK CIM, Manchester, May 2013

Marginal log-linear parameters, graphical models and model selection - Statistics Seminar, University of Bristol, January 2012

Variation Independent Parametrizations (with video) - CSI One Day Meeting, September 2011

Parametrizations of Discrete Graphical Models - UW Final Examination, August 2011

Smoothness of Binary Conditional Independence Models - WOGAS3, April 2011

Probabilistic Causal Models: A Short Introduction - ACMS Seminar, February 2011

Parametrizations of Discrete Graphical Models - UW General Examination, December 2010

Factor Analysis and Singularities - Slides from presentation for STAT 591, October 2009

**Other Work**

(not to be reproduced without appropriate citation / permission)

2009 | Discussion of Generalized Additive Models with Implicit Variable Selection by Likelihood-Based Boosting, G. Tutz and H. Binder |

2009 | Maximum Likelihood Estimates for Binary Random Variables on Trees via Phylogenetic Ideals |

2007 | Rates of Convergence of Non-Parametric Maximum Likelihood Estimators via Entropy Methods |