A simulated birth-death tree: lineages that survive to the present, and faded lineages that went extinct
Francisco Richter Mendoza

Francisco Richter Mendoza

Scientific collaborator and lecturer at the Faculty of Informatics, Università della Svizzera italiana, Lugano.

PhD, University of Groningen (2021), with Ernst Wit and Rampal Etienne. Mathematical engineer, Universidad Técnica Federico Santa María, Valparaíso. Earlier work at ALMA, at ESO and in industry.

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

  1. 2026
    Where the tree of life is empirically resolved, and where it is not: an open atlas of species-level phylogenies and their archival uncertainty F. Richter bioRxiv
  2. 2025
    Neural causal regularization: extending causal invariance to deep models F. Richter, K. Rigana, E. C. Wit Statistics for Innovation I, 97–102. Springer Nature
  3. 2024
    Random graphical model of microbiome interactions in related environments V. Vinciotti, E. C. Wit, F. Richter Journal of Agricultural, Biological and Environmental Statistics
  4. 2021
    Detecting phylodiversity-dependent diversification with a general phylogenetic inference framework F. Richter, T. Janzen, H. Hildenbrandt, E. C. Wit, R. S. Etienne bioRxiv
  5. 2021
    Microbiome and environment explain the absence of correlations between consumers and their diet in Bornean microsnails K. P. Hendriks, …, F. J. Richter Mendoza, M. Schilthuizen, R. S. Etienne Ecology 102(2), e03237
  6. 2021
    Plant diets of land snail community members are similar in composition but differ in richness K. P. Hendriks, …, F. J. Richter Mendoza, M. Schilthuizen, R. S. Etienne Journal of Molluscan Studies 87(4), eyab041
  7. 2020
    Introducing a general class of species diversification models for phylogenetic trees F. Richter, B. Haegeman, R. S. Etienne, E. C. Wit Statistica Neerlandica 74, 261–274
  8. 2019
    Fieldwork to sample microsnails for diet and microbiome studies along the Kinabatangan River, Sabah, Malaysian Borneo K. P. Hendriks, …, F. J. Richter Mendoza, M. Schilthuizen, R. S. Etienne Malacologist 72, 33–38

Industry reports

  1. 2024
    IKEA: innovative know-how for e-commerce allocation Y. Chen, M. Pellemans, F. Richter, Y. Roshandel, V. Schmeits, P. Waldert, L. Wehbi, T. C. van der Zanden Study Group Mathematics with Industry (SWI) 2024, scientific proceedings
  2. 2024
    Stereo 3D cloud motion from tandem satellites Y. Zhou, S. Abrahams, F. Mendoza, M. Donà, R. Verbiest Mathematics in Industry Reports

All publications on Google Scholar

Talks

  1. 2026
    How academic achievement and socioemotional learning are structurally linkedConference on Complex Systems, Binghamton
  2. 2026
    The phylogenetic dark matterEuropean Meeting of Statisticians, Lugano
  3. 2026
    Robust and fair prediction under distribution shiftLatin American Congress on Industrial and Applied Mathematics, Valparaíso; session organiser
  4. 2025
    Neural causal regularization: extending causal invariance to deep modelsItalian Statistical Society, Genova; invited
  5. 2023
    Detecting complex diversity-dependent diversification with a novel phylogenetic inference frameworkComplex Networks (CompleNet), Aveiro
  6. 2023
    Phylodiversity-dependent diversification: a general frameworkWorld Conference on Natural Resource Modeling, Amsterdam
  7. 2022
    Inferring the drivers of species diversification processesConference on Complex Systems, Palma de Mallorca
  8. 2018
    Generalizing species diversification modelsConference on Complex Systems, Thessaloniki
  9. 2018
    A 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

  1. 2026
    Adversarial causal regularization: stress-testing distributional robustness via worst-case environment discoveryJana Muñoz RuscalledaMaster in Informatics, USI; co-supervised with Ernst Wit
  2. 2025
    Causality and deep learningMetehan DündarMaster in Computational Science, USI
  3. 2025
    Prediction in environmental OASI time seriesFederica MariniMaster in Statistical Sciences and Data Science, Università di Bologna
  4. 2024
    Machine learning for species diversification dynamicsMattia ColbertaldoMaster in High Performance Computing Engineering, Politecnico di Milano
  5. 2023
    Deep learning for parameter estimation and model classification in species diversification modelsOscar Arturo Silva CastellanosMaster in Artificial Intelligence, USI
  6. 2023
    Stochastic learning for species diversification dynamicsLodovico MazzeiMaster 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.