Maximillian Gabriel Marin

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About me

I am postdoctoral research fellow in the Li Lab at Dana-Farber Cancer Institute and Harvard Medical School. I completed my PhD studying the evolution of Mycobacterium tuberculosis in the Farhat Lab at Harvard Medical School.

Publications

  1. M. Marin, C. Wippel, N. Quinones-Olvera, M. Behruznia, B.M. Jeffrey, M. Harris, B.C. Mann, A. Rosenthal, K.R. Jacobson, R.M. Warren, H. Li, C.J. Meehan, & M.R. Farhat. Analysis of the limited M. tuberculosis accessory genome reveals potential pitfalls of pan-genome analysis approaches. Bioinformatics (2025)

  2. M. Marin, M.R. Chase, N. Quinones-Olvera, S. Wakabayashi, D. Mugahid, S.M. Fortune, M.R. Farhat, & M.C. Chao. Complete genome sequence of a virulent barcoded Mycobacterium tuberculosis strain Erdman commonly used for non-human primate infection studies. Microbiology Resource Announcements (2025)

  3. Y. Ektefaie, A. Shen, D. Bykova, M. Marin, M. Zitnik, & M. Farhat. Evaluating generalizability of artificial intelligence models for molecular datasets. Nature Machine Intelligence (2024)

  4. H. Li, M. Marin, & M.R. Farhat. Exploring gene content with pangenome gene graphs. Bioinformatics (2024)

  5. N. Quinones-Olvera, S.V. Owen, L.M. McCully, M. Marin, E.A. Rand, A.C. Fan, O.J. Martins Dosumu, K. Paul, C.E. Sanchez Castaño, R. Petherbridge, J.S. Paull, M. Baym. Diverse and abundant phages exploit conjugative plasmids. Nature Communications (2024)

  6. M. Marin, R. Vargas, M. Harris, B. Jeffrey, L.E. Epperson, D. Durbin, M. Strong, M. Salfinger, Z. Iqbal, I. Akhundova, S. Vashakidze, V. Crudu, A. Rosenthal, & M.R. Farhat. Benchmarking the empirical accuracy of short-read sequencing across the M. tuberculosis genome. Bioinformatics (2022)

  7. C.M. Soulette, E. Hrabeta-Robinson, A. Tang, M. Marin, A.N. Brooks. Nanopore sequencing reveals U2AF1 S34F-associated full-length isoforms. Life Science Alliance (2023)

  8. R. Vargas, L. Freschi, M. Marin, L.E. Epperson, M. Smith, I. Oussenko, D. Durbin, M. Strong, M. Salfinger, & M.R. Farhat. In-host population dynamics of Mycobacterium tuberculosis complex during active disease. eLife (2021)

  9. M. Gröschel, M. Owens, L. Freschi, R. Vargas, M. Marin, J. Phelan, Z. Iqbal, A. Dixit, & M.R. Farhat. GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning. Genome Medicine (2021)

  10. C.E. Trujillo et al. (Including M. Marin) Reintroduction of the archaic variant of NOVA1 in cortical organoids alters neurodevelopment. Science (2021)

  11. The Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium (Including M. Marin) Genomic basis for RNA alterations in cancer. Nature (2020)

  12. G. Bhagavatula, M.S. Rich, D.L. Young, M. Marin, & S. Fields. A Massively Parallel Fluorescence Assay to Characterize the Effects of Synonymous Mutations on TP53 Expression. Molecular Cancer Research (2017)

Education

Ph.D. in Systems, Synthetic, & Quantitative Biology   2017–2023 Harvard University, Graduate School of Arts and Sciences Advisor: Maha Farhat Thesis: Peering into the “dark matter” of the M. tuberculosis genome using long-read sequencing

B.S. in Molecular, Cellular, & Developmental Biology   2013–2017 University of California, Santa Cruz — Summa cum laude Advisor: Angela Brooks Thesis: Designing a high-throughput functional screen of skipped exons contributing to lung cancer development

Honors & Awards