Stefano Monti, PhD
Associate Professor, Biostatistics - Boston University School of Public Health
Biography
Stefano Monti is a Computational Biologist and joined the BU faculty in January 2011 in the section of Computational Biomedicine, with joint appointments in the Biostatistics Department and the Bioinformatics program. Monti received his Ph.D. in Intelligent Systems and Artificial Intelligence from the University of Pittsburgh, and completed his training with a post-doctoral fellowship at the Robotics Institute at Carnegie Mellon. His doctoral and post-doctoral research focused on the development of machine learning and knowledge discovery methodologies, with a particular emphasis on probabilistic reasoning and Bayesian approaches to modeling biomedical data. Since 2001, he has worked in the field of Cancer Genomics, first as a Research Scientist at the Whitehead Institute’s Center for Genome Research, and later as a Computational Biologist in the Cancer Program at the Broad Institute.
Dr. Monti's laboratory integrates systems biology, machine learning, and bioinformatics approaches to investigate the molecular drivers of human disease, with the goals of advancing prevention and care. This multidisciplinary effort relies on the development of novel computational methodologies, and on the design of experiments based on the generation and integrative analysis of high-throughput multi-omics data, with the goal of identifying novel therapeutic targets and developing accurate diagnostic and prognostic biomarkers. Specific areas of research include the study of the molecular mechanisms of tumor initiation and progression and of the role played in it by environmental exposure, as well as the study of the biological factors contributing to healthy aging and extreme longevity.
Other Positions
- Professor, Medicine - Boston University Chobanian & Avedisian School of Medicine
- Member, BU-BMC Cancer Center - Boston University
- Member, Evans Center for Interdisciplinary Biomedical Research - Boston University
- Member, Bioinformatics Graduate Program - Boston University
- Member, Genome Science Institute - Boston University
- Graduate Faculty (Primary Mentor of Grad Students) - Boston University Chobanian & Avedisian School of Medicine, Graduate Medical Sciences
Education
- University of Pittsburgh, PhD Field of Study: Artificial Intelligence
- University of Pittsburgh, MS Field of Study: Artificial Intelligence
- University of Houston, MS Field of Study: Computer Science
- Università degli Studi di Udine, BS Field of Study: Computer Science
Classes Taught
- SPHBS831
Publications
- Published on 10/9/2025
Chakraborty AK, Kroehling L, Raut RD, Choudhury C, Kukuruzinska MA, Gutkind JS, Varelas X, Sahay B, Monti S, Bais MV. LSD1 Inhibition Induces MHC-I and Dendritic Cell Activation to Promote Antitumor Immunity in Head and Neck Squamous Cell Carcinoma. Cancer Res. 2025 Oct 09. PMID: 41066547.
Read At: PubMed
- Published on 8/26/2025
Ennis CS, Seen M, Chen A, Kang H, Ilinski A, Mahdaviani K, Ko NY, Monti S, Denis GV. Plasma exosomes from individuals with type 2 diabetes drive breast cancer aggression in patient-derived organoids. Commun Biol. 2025 Aug 26; 8(1):1276. PMID: 40858992.
Read At: PubMed
- Published on 7/18/2025
Li M, Song Z, Reed E, Karagiannis TT, Andersen S, Brent M, Mateusiak C, Acharya S, Jung WS, Liao S, Wojczynski MK, Feitosa MF, O'Connell JR, Montasser ME, Thorpe RJ, Arbeev K, Milman S, Tai A, Perls TT, Sebastiani P, Monti S. Whole blood transcriptional signatures of age and survival identified in Long Life Family and Integrative Longevity Omics Studies. bioRxiv. 2025 Jul 18. PMID: 40791342.
Read At: PubMed
- Published on 7/9/2025
Llévenes P, Chen A, Lawton M, Rondón-Ortiz AN, Qiu Y, Seen M, Monti S, Denis GV. Plasma exosomes in insulin resistant obesity exacerbate progression of triple negative breast cancer. BMC Cancer. 2025 Jul 09; 25(1):1089. PMID: 40629272.
Read At: PubMed
- Published on 7/7/2025
Li W, Nishino M, Reed E, Akshinthala D, Pasha HA, Anderson ES, Huang L, Hebestreit H, Monti S, Gomez ED, Jalisi SM, Muthuswamy SK. Head and neck tumor organoid grown under simplified media conditions model tumor biology and chemoradiation responses. Sci Rep. 2025 Jul 07; 15(1):24221. PMID: 40624315.
Read At: PubMed
- Published on 7/3/2025
Trepicchio C, Rauner G, Traugh N, Wang R, Parrish M, Fein DEC, Mal Y, Gupta PB, Monti S, Kuperwasser C. DDR1 regulates RUNX1-CBFß to control breast stem cell differentiation. Stem Cell Reports. 2025 Aug 12; 20(8):102576. PMID: 40614729.
Read At: PubMed
- Published on 7/3/2025
Song Z, Gunn S, Monti S, Peloso GM, Liu CT, Lunetta K, Sebastiani P. Learning Gaussian Graphical Models from Correlated Data. Front Syst Biol. 2025; 5. PMID: 40766210.
Read At: PubMed
- Published on 6/3/2025
Qiu Y, Chen A, Yu R, Llevenes P, Seen M, Ko NY, Monti S, Denis GV. Insulin Resistance Increases TNBC Aggressiveness and Brain Metastasis via Adipocyte-Derived Exosomes. Mol Cancer Res. 2025 Jun 03; 23(6):567-578. PMID: 40047645.
Read At: PubMed
- Published on 5/28/2025
Sebastiani P, Reed E, Chandler KB, Lopez P, Lords H, Bae H, Costello CE, Au M, Deng LL, Li M, Xiang Q, Noh H, Pflieger L, Funk C, Rappaport N, Nygaard M, Short MI, Brent M, Monti S, Andersen SL, Perls TT. Robust Serum Proteomic Signatures of APOE2. bioRxiv. 2025 May 28. PMID: 40501769.
Read At: PubMed
- Published on 5/20/2025
Shastry A, Hiller BE, Sanders NL, Tseng AE, Kothari J, O'Connell AK, Gertje HP, Ha CT, Murzin E, Traber KE, Lederer JA, Jones MR, Douam F, Beach TG, Remick DG, Crossland NA, Monti S, Campbell JD, Mizgerd JP. Sub-phenotypes of pneumonia defined by pulmonary histopathological features. bioRxiv. 2025 May 20. PMID: 40475544.
Read At: PubMed
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News & In the Media
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Identifying Metabolism-Disrupting Chemicals with Machine Learning
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A Quick, Accurate Way to Determine If a Chemical Causes Cancer? Researchers Say They’ve Got One
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Published on April 10, 2019
Newly Developed Approach Efficiently Assesses Carcinogenicity of Chemicals
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Published on April 10, 2019
New Method for Evaluating Cancer Risk of Chemicals Is Quick, Precise, Inexpensive
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Published on April 9, 2019
New Method for Evaluating Cancer Risk of Chemicals Is Quick, Precise, Inexpensive