MIA: 10 Years of Models, Inference & Algorithms (MIA) at Broad Institute @broadinstitute
MIA: 10 Years of Models, Inference & Algorithms (MIA) at Broad Institute  @broadinstitute
Uploaded October 2025 | Updated September 2026, 3 weeks ago
An Overview of Models, Inference & Algorithms (MIA) at Broad Institute

Founded by Alex Bloemendal and Jon Bloom in the fall of 2015, the Models, Inference & Algorithms (MIA) Initiative, a weekly pedagogical meeting series, supports learning and collaboration across the interface of biology and medicine with mathematics, statistics, machine learning, and computer science.

MIA weekly meetings feature an interactive primer, breakfast, seminar, and discussion. Instead of an emphasis on research results, speakers dive into the methods — their mechanics, intuition, and philosophy — in the context of their research, so that participants can leave the talk having absorbed new ideas and potentially apply them in their own research.

Learn more about MIA: broad.io/MIA

Copyright Broad Institute, 2025. All rights reserved.
MIA: 10 Years of Models, Inference & Algorithms (MIA) at Broad InstituteEWSC: Emily Fox, Beyond Prediction: Causal Validity in ML-Driven Drug Discovery & Health MonitoringDay 1: Flash talksObesity ML Competition: Lecture 3, Part B - Data - Data Overview11th Annual Rare Disease Day Event: Kasper RoetDay 1, Short talk: Yichen SiMPG Primer: Allele-specific expression: building a rigorous pipeline for WGS + RNA-seq data (2026)gVasc Saliva Kit TutorialMPG Primer: Noncoding Variants in Genetic Diagnoses (2026)MPG Primer: ClinGen, ClinVar and other Clinical Genomic Resources (2025)CLEAR 2026: Keynote, Proxy Variables for Causal Effect Estimation with Hidden ConfoundingGlobal views of development
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MIA: 10 Years of Models, Inference & Algorithms (MIA) at Broad Institute

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