Lukas M. Weber, PhD
Assistant Professor
Boston University School of Public Health
Biostatistics

PhD, University of Zurich
MSc, University of Zurich
MA, University of Western Australia
BSc, Australian National University
BSc, University of Western Australia



Dr. Lukas M. Weber is an Assistant Professor in the Department of Biostatistics, School of Public Health, at Boston University.

His research is in statistical genomics and biomedical data science on the development of statistical and computational methods, open-source software, and collaborative analyses for data from high-throughput genomic technologies, primarily applied to biological questions in neuroscience and cancer biology. Currently, his research is focused on data from spatial transcriptomics and single-cell platforms.

He has implemented methods and other analysis tools in a number of R software packages, and supports principles of open and reproducible science, including the development of open-source software, reproducibility of analyses, benchmarking against existing and baseline methods, providing accessible code and data resources, and publication of preprints. He has instructed several workshops on R programming and computational skills.

His training includes a postdoctoral fellowship in the Department of Biostatistics at Johns Hopkins University, a PhD in Biostatistics at the University of Zurich, Switzerland, and a MSc in Statistics at ETH Zurich, Switzerland.


Unsupervised Statistical Methods for Data-driven Analyses in Spatially Resolved Transcriptomics Data
01/01/2024 - 12/31/2026 (PI)
NIH/National Human Genome Research Institute
5R00HG012229-04



Title


Yr Title Project-Sub Proj Pubs

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

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  1. Mas-Peiro S, Muntané-Carol G, Ternacle J, Veiga-Fernandez G, Vilalta V, Campelo-Parada F, Nuche J, Nombela-Franco L, Asmarats L, Regueiro A, Del Trigo M, Indolfi C, Cheema A, Del Val D, Alperi A, Esposito G, Muñoz-García A, Serra V, Romaguera R, Weber L, Gautier P, Fernández-Herrero I, Nardi G, Anduaga Í, Sorrentino S, Mariani A, Mohammadi S, Avvedimento M, Rodés-Cabau J. Cardiac Structural Complications Following TAVR. Circ Cardiovasc Interv. 2026 Feb 05; e015991. PMID: 41641532
     
  2. Zhang Y, Joehanes R, Huan T, Weber LM, Yang Q, Lunetta KL, Levy D, Liu C. Integration of latent factor analysis into multivariable Mendelian randomization. Eur J Epidemiol. 2026 Jan 12.View Related Profiles. PMID: 41524881; DOI: 10.1007/s10654-025-01324-8;
     
  3. Crowell HL, Dong Y, Billato I, Cai P, Emons M, Gunz S, Guo B, Li M, Mahmoud A, Manukyan A, Pagès H, Panwar P, Rao S, Sargeant CJ, Kern LS, Ramos M, Sun J, Totty M, Carey VJ, Chen Y, Collado-Torres L, Ghazanfar S, Hansen KD, Martinowich K, Maynard KR, Patrick E, Righelli D, Risso D, Tiberi S, Waldron L, Gottardo R, Robinson MD, Hicks SC, Weber LM. Orchestrating Spatial Transcriptomics Analysis with Bioconductor. bioRxiv. 2025 Nov 21. PMID: 41332620; PMCID: PMC12667768; DOI: 10.1101/2025.11.20.688607;
     
  4. Weber L, Dos Anjos Cunha L, Morales MA, Rubio A, Zhang S. Phaseless Auxiliary-Field Quantum Monte Carlo Method for Cavity-QED Matter Systems. J Chem Theory Comput. 2025 Mar 25; 21(6):2909-2917. PMID: 39823201
     
  5. Weber LM, Divecha HR, Tran MN, Kwon SH, Spangler A, Montgomery KD, Tippani M, Bharadwaj R, Kleinman JE, Page SC, Hyde TM, Collado-Torres L, Maynard KR, Martinowich K, Hicks SC. The gene expression landscape of the human locus coeruleus revealed by single-nucleus and spatially-resolved transcriptomics. Elife. 2024 Jan 24; 12. PMID: 38266073; PMCID: PMC10945708; DOI: 10.7554/eLife.84628;
     
  6. Tippani M, Divecha HR, Catallini JL, Kwon SH, Weber LM, Spangler A, Jaffe AE, Hyde TM, Kleinman JE, Hicks SC, Martinowich K, Collado-Torres L, Page SC, Maynard KR. VistoSeg: Processing utilities for high-resolution images for spatially resolved transcriptomics data. Biol Imaging. 2023; 3:e23. PMID: 38510173; PMCID: PMC10951916; DOI: 10.1017/S2633903X23000235;
     
  7. Hippen AA, Omran DK, Weber LM, Jung E, Drapkin R, Doherty JA, Hicks SC, Greene CS. Performance of computational algorithms to deconvolve heterogeneous bulk ovarian tumor tissue depends on experimental factors. Genome Biol. 2023 Oct 20; 24(1):239. PMID: 37864274; PMCID: PMC10588129; DOI: 10.1186/s13059-023-03077-7;
     
  8. Weber LM, Saha A, Datta A, Hansen KD, Hicks SC. nnSVG for the scalable identification of spatially variable genes using nearest-neighbor Gaussian processes. Nat Commun. 2023 Jul 10; 14(1):4059. PMID: 37429865; PMCID: PMC10333391; DOI: 10.1038/s41467-023-39748-z;
     
  9. Ambrosini S, Montecucco F, Kolijn D, Pedicino D, Akhmedov A, Mohammed SA, Herwig M, Gorica E, Szabó PL, Weber L, Russo G, Vinci R, Matter CM, Liuzzo G, Brown PJ, Rossi FMV, Camici GG, Sciarretta S, Beltrami AP, Crea F, Podesser B, Lüscher TF, Kiss A, Ruschitzka F, Hamdani N, Costantino S, Paneni F. Methylation of the Hippo effector YAP by the methyltransferase SETD7 drives myocardial ischaemic injury: a translational study. Cardiovasc Res. 2023 Jan 18; 118(17):3374-3385. PMID: 35709329
     
  10. Tippani M., Divecha H.R., Catallini II J.L., Kwon S.H., Weber L.M., Spangler A., Jaffe A.E., Hyde T.M., Kleinman J.E., Hicks S.C., Martinowich K., Collado-Torres L., Page S.C., Maynard K.R. VistoSeg: Processing utilities for high-resolution images for spatially resolved transcriptomics data. Biological Imaging. 2023; 3(e23).
Showing 10 of 28 results. Show More

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 28 publications over 10 distinct years, with a maximum of 8 publications in 2023

YearPublications
20141
20171
20182
20191
20216
20224
20238
20241
20252
20262


2022 NIH NHGRI: K99/R00 Pathway to Independence Award
2021 Early Career Research Symbiont Award
Contact for Mentoring:

801 Massachusetts Ave
Boston MA 02118
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