Eduardo Beltrame

Assistant Professor of Computational Biology

Research interests

Professor Beltrame’s main research interest is on developing methods and tools for working with biological data generated by single cell omics technologies, which are key to advancing precision medicine. He is particularly interested in single cell RNA sequencing, which measures the RNA contents of thousands of individual cells from a biological sample in a single experiment at unprecedented scale and biological resolution. Data is now being generated much faster than researchers can analyze it, and Professor Beltrame seeks to develop new methods and tools that can streamline biological analysis and make it easy to ask biological questions about the data for researchers of all backgrounds. He is also interested in exploring the development of interactive analysis tools that incorporate recent advances in machine learning, such as natural language models, which can make biological analysis easier, faster and broaden access to more researchers.

Email

Prior to joining MBZUAI, Professor Beltrame was bioinformatics lead at ImYoo, a biotechnology startup spun out of Caltech research that executes decentralized immune studies using single cell omics. Before ImYoo, Professor Beltrame was founding scientist at Retro Biosciences, a biotechnology startup developing ageing-related therapeutics. Professor Beltrame holds a Ph.D. in bioengineering from Caltech, where his primary research focus was on the development of experimental and computational methods and tools for single cell RNA sequencing and their application to answering biological questions. He is also a visiting scholar at UC Berkeley School of Education, working on a research partnership with innovative STEM education programs in Brazil.

  • Ph.D. in Bioengineering from the California Institute of Technology, 2021.
  • B.S. in Biological Physics from Brandeis University, 2016.

  • Adam Gayoso, Romain Lopez, Galen Xing et al: “A Python library for probabilistic analysis of single-cell omics data”, Nature biotechnology, 2022.
  • Páll Melsted, A. Sina Booeshaghi, et al: “Modular, efficient and constant-memory single-cell RNA-seq preprocessing”, Nature biotechnology, 2021.
  • Valentine Svensson, Eduardo da Veiga Beltrame, Lior Pachter: “A curated database reveals trends in single-cell transcriptomics”, Database, Volume 2020, 2020.
  • Eduardo da Veiga Beltrame, Valerio Arnaboldi, Paul W Sternberg: “WormBase single-cell tools”, Bioinformatics Advances, 2022.
  • A. Sina Booeshaghi, Eduardo da Veiga Beltrame, Dylan Bannon, Jase Gehring & Lior Pachter: “Principles of open source bioinstrumentation applied to the poseidon syringe pump system”, Scientific Reports, 2019.
  • Eduardo Da Veiga Beltrame, James Tyrwhitt-Drake, Ian Roy, Raed Shalaby, Jakob Suckale & Daniel Pomeranz Krummel: “3D Printing of Biomolecular Models for Research and Pedagogy”, JoVE, 2017.

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