Machine learning and computation for biology.
I develop deep learning, generative and statistical models for biology, from proteins and antibodies to neural and physiological signals. I'm an Associate Director of Computational Biology; before that, a computational neuroscientist (PhD Cambridge, postdoc Yale).
Writing
Statistical inference
Frequentist vs Bayesian statistics
Statistics vs reproducibility
Correlation or causation?
Learn ML
Recent publications
- 2024 Do place cells dream of deceptive moves in a signaling game? Neuroscience
- 2023 Application of the PHENotype SIMulator for rapid identification of potential candidates in effective COVID-19 drug repurposing Heliyon 9 (3)
- 2022 Diagnostic model development for schizophrenia based on peripheral blood mononuclear cell subtype-specific expression of metabolic markers Translational Psychiatry 12 (1), 457