Speaking
(2022) Data Science Summit Conference
Talk: "Self-supervised learning in medicine: X-ray analysis with few labeled examples". [SLIDES]
Teaching
(2022) Deep Learning for Image Analysis
I've been a trainer during the European Molecular Biology Laboratory's (EMBL) deep learning course, guiding particpants as they worked on their project involving segmenting and classifying cells in microscope images.
(2020 - present) Bayesian Data Analysis in Python
Interactive online course I teach at DataCamp. Learn all about the advantages of the Bayesian approach to data analysis, and apply it to a variety of real-world use cases.
(2019 - present) Handling Missing Data with Imputations in R
Interactive online course I teach at DataCamp. Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.
Guest writing
NannyML: Bad Machine Learning Models Can Still Be Well-Calibrated
NannyML: Detecting Covariate Shift: A Guide to the Multivariate Approach
neptune.ai: Feature Selection Methods and How to Choose Them
neptune.ai: Reducing Pipeline Debt With Great Expectations
MLOps Community: Monitoring Regression Models Without Ground-Truth
Nota AI: AI Model Optimization Has Never Been Easier
DataCamp: Regularization in R Tutorial: Ridge, Lasso and Elastic Net
DataCamp: Visualize Missing Data with VIM Package