Talks, Lectures, Workshops

2023

Course "Deep generative modelling"

Course “Deep generative modelling” (10h) at African Institute of Mathematical Sciences (AIMS), South

Jul 10, 2023 — Jul 15, 2023 Muizenberg, South Africa

Course "Deep generative modelling"

Course "Machine learning foundations"

Course “Machine learning foundations” (10h) at African Institute of Mathematical Sciences (AIMS), South

Jul 3, 2023 — Jul 9, 2023 Muizenberg, South Africa

Nordic Probabilistic AI School 2023

Lecture “Bayesian workflow”

Jun 15, 2023 Trondheim, Norway

Nordic Probabilistic AI School 2023

ICLR 2023 First Workshop on "Machine Learning & Global Health"

Organizing ICLR 2023 First Workshop on “Machine Learning & Global Health”"

May 5, 2023 Kigali, Rwanda

ICLR 2023 First Workshop on "Machine Learning & Global Health"

BayesComp 2023, Bayesian Inference of Epidemics

Contributed talk “Spatial statistics with deep generative modelling - flexible and efficient disease mapping with MCMC and deep learning”

Mar 12, 2023 Levi, Finland

BayesComp 2023, Bayesian Inference of Epidemics

Variational inference - from theory to practice, Minisymposium

Invited talk at “Variational inference, from theory to practice” Minisymposium of SIAM Conference on Computational Science and Engineering

Mar 2, 2023 Amsterdam, Netherlands

Variational inference - from theory to practice, Minisymposium

Bayesian Scientific Computing and Probabilistic Programming: inside and outside the “black box”

Workshop at SIAM Conference on Computational Science and Engineering

Feb 28, 2023 Amsterdam, Netherlands

Bayesian Scientific Computing and Probabilistic Programming: inside and outside the “black box”

2022

NeurIPS 2022 Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems

Organizing NeurIPS 2022 Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems

Dec 2, 2022 New Orleans, US

NeurIPS 2022 Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems

Seminar of Autonomous Intelligent Machines and Systems

Invited talk “Deep generative modelling aiding spatial statistics”

Nov 19, 2022 Centre for Doctoral Training in Autonomous Intelligent Machines and Systems

Seminar of Autonomous Intelligent Machines and Systems

ASTMH annual meeting 2022

Poster “Mapping malaria prevalence in Kenya by reconciling changes in administrative boundaries using MCMC and deep learning”

Oct 29, 2022 Seattle, US (remote)

ASTMH annual meeting 2022

Infectious Disease Epidemiology, seminar series

Talk “How can deep generative modelling help with spatial statistics?”

Oct 25, 2022 Imperial College London, St Mary's Campus

Infectious Disease Epidemiology, seminar series

XVIth International Congress of Toxicology

Talk “Capturing uncertainty in toxicity profiling models”

Sep 21, 2022 Maastricht, Netherlands

XVIth International Congress of Toxicology

Deep Learning Indaba

Lecture “Mathematics and Statistics for Machine Learning”

Aug 21, 2022 Tunis, Tunisia

Deep Learning Indaba

Uniq+: DeepMind social lunches

Aug 19, 2022 Oxford, Statistics Department

Uniq+: DeepMind social lunches

Unceratinty in Artificial Intelligence (UAI)

Talk at the 5th Workshop on Tractable Probabilistic Modeling

Aug 6, 2022 Eindhoven, Netherlands

Unceratinty in Artificial Intelligence (UAI)

Oxford Computational Statistics and Machine Learning (OxCSML) seminar

Talk “Encoding spatial priors with VAEs for small area estimation”.

Jun 26, 2022 Oxford, UK

Oxford Computational Statistics and Machine Learning (OxCSML) seminar

Nordic Probabilistic AI School 2022

Lecture “Bayesian workflow”

Jun 26, 2022 Helsinki, Finland

Nordic Probabilistic AI School 2022

Cambridge’s first ML research event for undergraduates

Apr 26, 2022 Cambridge University

University of Lancaster, CHICAS

Feb 10, 2022 remote

2021

Berlin Bayesians Meetup

Talk “Bayesian workflow for disease transmission modeling in Stan”

Dec 5, 2021 remote

Berlin Bayesians Meetup

2020

PyMCon-2020 conference

Talk “Building an ordered logistic regression model for toxicity prediction”.

Nov 5, 2020 remote

PyMCon-2020 conference

Learning Bayesian Statistics podcast

Episode “Gaussian Processes, Bayesian Neural Nets & SIR Models”.

Aug 13, 2020 remote

Learning Bayesian Statistics podcast

Hands-on Bayesian Machine Learning with Julia

Predictive machine learning and statistical models have been successfully applied to a vast variety of fields. Traditional approaches …

Jan 25, 2020 Lausanne, Switzerland

Hands-on Bayesian Machine Learning with Julia

Applied Machine Learning Days (AMLD)

Talk “Bayesian Neural Networks for toxicity prediction”.

Jan 25, 2020 Lausanne, Switzerland

Applied Machine Learning Days (AMLD)

2019

Bayesian Inference with Python

Nov 25, 2019 Basel, Switzerland

Bayesian Inference with Python

StanCon-2019

Poster “Predicting severity of drug-induced liver injury with uncertainty”.

Jun 25, 2019 Cambridge, UK

StanCon-2019