Education

• PhD in Machine Learning, Gatsby Unit, UCL, 2027 (expected)
• MSc in Computational Statistics and Machine Learning, UCL, 2021 (Distinction, Dean’s List)
• MSc in Economics, UCL, 2016 (Distinction)
• BA. in Economics and International Relations, University of Birmingham, 2015 (First Class Honours)
• GDip in Mathematics and Statistics, Birkbeck 2022 (Distinction)

Work experience

• December 2021-May 2022
  • PwC, London
  • Econometrician (Senior Associate)
• August 2016-July 2020
  • PwC, London
  • Econometrician (Associate - Senior Associate)
• July 2015-August 2015
  • KPMG, Helsinki
  • Strategy Group Intern
• June 2015 - July 2015
  • Grant Thornton, London
  • Corporate Finance Intern
• June 2014 - July 2014
  • Grant Thornton, London
  • Corporate Finance Intern

Publications

Spectral Representations for Accurate Causal Uncertainty Quantification with Gaussian Processes

Dance, H., Orbanz, P. and Gretton, A. (2024). " Spectral Representations for Accurate Causal Uncertainty Quantification with Gaussian Processes." arXiv:2410.14483

Causal Inference with Cocycles

Dance, H. and Bloem-Reddy, B. (2024). " Causal Inference with Cocycles." arXiv:2405.13844

Fast and Scalable Spike and Slab Variable Selection in High Dimensional Gaussian Processes

Dance, H. and Paige, B. (2022). " Fast and scalable spike and slab variable selection in high-dimensional Gaussian processes. " International Conference on Artificial Intelligence and Statistics. PMLR, 2022

Talks

Causal Inference with Cocycles

June 05, 2024

Talk at University of Columbia, Zuckerman Institute, New York, USA

Causal Inference with Cocycles

October 09, 2023

Talk at Gatsby Unit, UCL, London, United Kingdom

Fast and Scalable Spike and Slab Variational Inference in High Dimensional Gaussian processes

March 28, 2022

Talk at AISTATS Conference 2022, Held online due to COVID

Teaching

COMP0085: Approximate Inference and Learning and Probabilistic Models

COMP0083: Advanced Topics in Machine Learning: Kernel Methods