Research
Evolutionary biology
Statistical: fitting models of speciation and extinction to trees of living species by simulating the lineages the tree is missing, and working out what such trees can and cannot tell us.
Biological: whether diversity limits itself, whether a lineage's age or distinctiveness changes its fate, and whether diversification rates are inherited.
Robust and causal regularization
With Ernst Wit: which relationships still hold when conditions change, in data where the conditions were not recorded. Applied to learning outcomes in Peru's national assessment (Conference on Complex Systems, 2026) and to problems in social and network science.
Other systems
Phylogenies of stellar chemical abundances, microbiome interaction networks, and injury mortality in Chile.
Publications
- 2026
-
2025
Neural causal regularization: extending causal invariance to deep models Statistics for Innovation I, 97–102. Springer Nature
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2024
Random graphical model of microbiome interactions in related environments Journal of Agricultural, Biological and Environmental Statistics
- 2021
- 2021
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2021
Plant diets of land snail community members are similar in composition but differ in richness Journal of Molluscan Studies 87(4), eyab041
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2020
Introducing a general class of species diversification models for phylogenetic trees Statistica Neerlandica 74, 261–274
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2019
Fieldwork to sample microsnails for diet and microbiome studies along the Kinabatangan River, Sabah, Malaysian Borneo Malacologist 72, 33–38
Industry reports
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2024
IKEA: innovative know-how for e-commerce allocation Study Group Mathematics with Industry (SWI) 2024, scientific proceedings
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2024
Stereo 3D cloud motion from tandem satellites Mathematics in Industry Reports
All publications on Google Scholar
Talks
- 2026How academic achievement and socioemotional learning are structurally linkedConference on Complex Systems, Binghamton
- 2026The phylogenetic dark matterEuropean Meeting of Statisticians, Lugano
- 2026Robust and fair prediction under distribution shiftLatin American Congress on Industrial and Applied Mathematics, Valparaíso; session organiser
- 2025Neural causal regularization: extending causal invariance to deep modelsItalian Statistical Society, Genova; invited
- 2023Detecting complex diversity-dependent diversification with a novel phylogenetic inference frameworkComplex Networks (CompleNet), Aveiro
- 2023Phylodiversity-dependent diversification: a general frameworkWorld Conference on Natural Resource Modeling, Amsterdam
- 2022Inferring the drivers of species diversification processesConference on Complex Systems, Palma de Mallorca
- 2018Generalizing species diversification modelsConference on Complex Systems, Thessaloniki
- 2018A statistical approach to species diversification dynamicsMathematics for Planet Earth, Utrecht; invited
Teaching
I teach from primary school to PhD level: courses at USI, thesis supervision, workshops in schools, and my own children's education at home. I write the textbooks for my courses, and lately I am turning their concepts into animations.
Now, autumn 2026
Stochastic Methods and Numerical Computing.
Earlier courses
- USI
- Probability and Statistics; Ordinary Differential Equations; Introduction to Data Science; Analysis of Social Networks
- UTFSM
- Matemáticas I
Thesis supervision
- 2026Adversarial causal regularization: stress-testing distributional robustness via worst-case environment discoveryMaster in Informatics, USI; co-supervised with Ernst Wit
- 2025Causality and deep learningMaster in Computational Science, USI
- 2025Prediction in environmental OASI time seriesMaster in Statistical Sciences and Data Science, Università di Bologna
- 2024Machine learning for species diversification dynamicsMaster in High Performance Computing Engineering, Politecnico di Milano
- 2023Deep learning for parameter estimation and model classification in species diversification modelsMaster in Artificial Intelligence, USI
- 2023Stochastic learning for species diversification dynamicsMaster in Computational Science, USI
Textbooks
Written for my courses: Stochastic Methods; Numerical Computing; Probability and Data Fundamentals; Irreducible Inference, on statistical inference and modelling.
Outreach
Supervision of Lavori di Maturità with the Faculty of Informatics; workshops at TecDays and at a giornata autogestita; classes at Liceo Lugano 1.
Schools and AI
My children are homeschooled, and I build their learning material with current AI tools. From that work: curriculum-aligned learning games for Chilean primary and secondary school, at juegos.whitebox.cl.
Animation
Animated explainers for the concepts in my courses, starting with Stochastic Methods.
Consulting
Contact
Write to me at richtf@usi.ch or franciscorichter@gmail.com. I work at the Faculty of Informatics, Università della Svizzera italiana, in Lugano. My code is on GitHub, and I am also on LinkedIn.