Isabella Deutsch

Academic

Research Interest

I am interested in the theory and application of Bayesian Statistics. Currently, I am using Bayesian Modelling for Point Processes on Wholesale Data in Retail Fashion. For my Master-Thesis, I worked on the application of Bayesian Hierarchical Models to Meta-Analyses.

Check out my 3 Minute Thesis Talk to get a short introduction to my research!

Publications

  • Deutsch, I., & Ross, G. J. (2020). ABC Learning of Hawkes Processes with Missing or Noisy Event Times. ArXiv:2006.09015 [Stat]. http://arxiv.org/abs/2006.09015. Under Review.
  • Deutsch, I. & Ross, G. J. (2022). Bayesian Estimation of Multivariate Hawkes Processes with Inhibition and Sparsity. ArXiv:2201.05009 [Stat]. https://arxiv.org/abs/2201.05009. Under Revision

Scholarships & Grants

London Mathematical Society Early Career Researcher Grant (2022)
Conference Funding ISBA (2022)
Training Fund from the Alan Turing Institute (2022)
Enrichment Scheme Stipend from the Alan Turing Institute (2022)
TOP Merit Scholarship by the county of Lower Austria (2018, 2019, 2020)
Scholarship for academic excellence from the University of Vienna (2017, 2018, 2019)

Awards

1st Prize Industry Awards at ISBA (2022)
Best Presentation Award at BAYSM (2022)
Edinburgh Teaching Award Category 1 leading to Associate Fellowship of the Higher Education Academy (2021)

Talks & Presentations

upcoming:

  • Get in touch if you would like me to speak at your event!

previously:

  • Statistics Seminar: Uncovering Product Cannibalisation using Multivariate Hawkes Processes (January 2023, Edinburgh)
  • Forum Junge Statistik Christmas Lecture: Get to the point — Point Processes (December 2022, Vienna)
  • Austria 2 Austin Alumni Summit: The Role of Data in the Climate Emergency (September 2022, Vienna)
  • ISBA Session for the International Day of Women in Statistics and Data Science: Uncovering Product Cannibalisation using Multivariate Hawkes Processes (September 2022, online)
  • PiFORUM 2022: Uncovering Product Cannibalisation using Multivariate Hawkes Processes (September 2022, Edinburgh)
  • ISBA 2022 World Meeting: The Multivariate Hawkes Process with Inhibition (June 2022, Montreal)
  • BAYSM 2022: ABC Learning of Hawkes Processes (June 2022, Montreal)
  • LIDA Group Meeting: The Multivariate Hawkes Process with Inhibition (May 2022, Leeds)
  • Statistics PGR Seminar Leeds: Uncovering Product Cannibalisation using Multivariate Hawkes Processes (April 2022, online)
  • 3 Minute Thesis (April 2022, online)
  • AI UK: Data Study Group Hack Session Facilitation and Panel Discussion (March 2022, online)
  • AI UK: Poster Presentation (March 2022, online)
  • Maxwell PG Colloquium Edinburgh: Uncovering Product Cannibalisation using Multivariate Hawkes Processes (March 2022, Edinburgh)
  • The Alan Turing Institute Community Week: Bayesian Estimation of Hawkes Processes with Excitation and Inhibition (September 2021, online)
  • ISBA 2021 World Meeting: ABC Learning of Hawkes Processes with Missing or Noisy Event Times (June 2021, online)
  • EdinbR User Group: The ABC of ABC — a handy guide to Approximate Bayesian Computation (May 2021, online)
  • Warwick Young Researchers Meeting: Bayesian Estimation of Hawkes Processes with Excitation and Inhibition — Tweets and Apparel Wholesale (April 2021, online)
  • Maxwell PG Colloquium Edinburgh: Earthquakes, Tweets, and Apparel Wholesale — Bayesian Estimation of Hawkes Processes (March 2021, online)
  • R Ladies Edinburgh: The ABC of ABC — Workflow and Challenges (Feb 2021, online)
  • SIAM-IAM Chapter Edinburgh: Think Like a Bayesian (Nov 2020, online)
  • MIGS PhD Conference Edinburgh: ABC Learning of Hawkes Processes with Missing or Noisy Event Times (Sept 2020, online)

Teaching

2021/22 Semester 2:
Volunteer Teaching Assistant at “Bayesian Data Analysis for Global South and underrepresented groups” (organised by Prof Aki Vehtari)

2021/22 Semester 1:
Regression and Simulation (PhD level course, Tutoring)
Bayesian Theory (Tutoring)
Generalised Regression Models (Tutoring)

2020/21 Semester 2:
Modern Regression and Bayesian Methods (PhD level course, Tutoring)
Statistics – Unlocking the World of Data (Massive Open Online Course, Teaching Assistant)
Applied Statistics (Tutoring and Marking)
Spreadsheets, R (Edinburgh Software Carpentry, Helper)
Sutton Trust Summer School: Statistics and Machine Learning (Content Creation and Live Session)

2020/21 Semester 1:
Probability (Tutoring and Marking)

2019/20 Semester 2:
Calculus and its Application (Tutoring and Marking)
Statistics Year 2 (Tutoring and Marking)
Sutton Trust Summer School: Statistics and Machine Learning (Content Creation and Live Session)