Data Sciences
Data Sciences comprise Statistics, Machine Learning and Computer Science, and attempt to extract meaningful information out of data in a variety of applications.
| Date | Heritage | Speaker | Title | YouTube | TikTok |
|---|---|---|---|---|---|
| 2 Oct 2020 |  |
Daniel Pimentel-Alarcon | Machine-learning, inside the black-box |  |
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| 8 Jan 2021 | |
Claudia Solis-Lemus | Learning the Tree of Life | |
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| 7 May 2021 |  |
Fabricia Nascimento | Simulation framework for HIV epidemics | |
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| 4 Jun 2021 | |
Vianey Leos Barajas | Latent structures in ecological and environmental data | |
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| 2 Dec 2022 | |
Jesus Arroyo Relion | Finding structure in brain networks | |
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| 3 Feb 2023 |  |
Brenda Betancourt | Introduction to record linkage and its applications | |
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| 3 May 2024 | |
Rene Welch | What can we learn from farm kids’ immune system when studying house dust microbiome? | |
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| 6 Sep 2024 | |
Alejandra Quintos | Modeling Random Times with Phases | |
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| 1 Nov 2024 |  |
Ulises Rosas Puchuri | Reducing the size of input data for phylogenetic network inference | |
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| 7 Feb 2025 | |
Tanya P. Garcia | Establishing the Parallels and Differences Between Right-Censored Covariates and Missing Covariates: Lessons from Huntington Disease | |