Olivier Elemento

About

Olivier Elemento, Ph.D., is a Professor of Physiology and Biophysics, Walter B. Wriston Research Scholar, and Professor of Computational Genomics in Computational Biomedicine at Weill Cornell Medicine. He serves as the Associate Director of the Institute for Computational Biomedicine and the Director of the Englander Institute for Precision Medicine. Additionally, he is an Associate Director of the Institute for Computational Biomedicine. His research combines Big Data analytics with experimentation to develop new methods for cancer prevention, diagnosis, understanding, treatment, and cure. His lab utilizes ultrafast DNA sequencing, proteomics, high-performance computing, mathematical modeling, and artificial intelligence/machine learning techniques to investigate various aspects of cancer biology. His work focuses on the systems biology of regulatory networks in normal and malignant cells, with a particular emphasis on blood cancers such as lymphomas and leukemias. He employs techniques like ChIP-seq, RNA-seq, and computational modeling to study gene regulation in cancer cells and how it differs from normal cells. His research also involves cancer genomics and precision medicine, aiming to identify new cancer mutations and understand their occurrence, including the role of 3D chromatin architecture. He investigates the epigenomics of cancer, focusing on genes involved in DNA methylation and histone modifications, and how these are mutated in cancer. His lab studies tumor…

Research topics

• Biology
• Medicine
• Internal medicine
• Genetics
• Computer Science
• Virology
• Computational biology
• Cell biology
• Biochemistry
• Cancer research

Selected publications

• A molecular single-cell lung atlas of lethal COVID-19

  Nature · 2021 · 717 citations

  DOI

• An atlas of substrate specificities for the human serine/threonine kinome

  Nature · 2023 · 685 citations

  . Here we used synthetic peptide libraries to profile the substrate sequence specificity of 303 Ser/Thr kinases, comprising more than 84% of those predicted to be active in humans. Viewed in its entirety, the substrate specificity of the kinome was substantially more diverse than expected and was driven extensively by negative selectivity. We used our kinome-wide dataset to computationally annotate and identify the kinases capable of phosphorylating every reported phosphorylation site in the hum…

  PublisherOA PDFDOI

• Neoadjuvant durvalumab with or without stereotactic body radiotherapy in patients with early-stage non-small-cell lung cancer: a single-centre, randomised phase 2 trial

  The Lancet Oncology · 2021 · 326 citations

  DOI

• The role of machine learning in clinical research: transforming the future of evidence generation

  Trials · 2021 · 277 citations

  BACKGROUND: Interest in the application of machine learning (ML) to the design, conduct, and analysis of clinical trials has grown, but the evidence base for such applications has not been surveyed. This manuscript reviews the proceedings of a multi-stakeholder conference to discuss the current and future state of ML for clinical research. Key areas of clinical trial methodology in which ML holds particular promise and priority areas for further investigation are presented alongside a narrative…

  PublisherOA PDFDOI

• Distinct Classes of Complex Structural Variation Uncovered across Thousands of Cancer Genome Graphs

  Cell · 2020 · 276 citations

  DOI

Recent grants

• The joint WCM-NYGC Center for Functional and Clinical Interpretation of Tumor Profiles

  NIH · $1.9M · 2016–2022

• Core A: Administrative Core

  NIH · $17.8M · 2018–2025

• Project 2: Targeting N-Myc and EZH2-driven Castrate Resistant Prostate Cancer

  NIH · $21.8M · 2017–2023

Frequent coauthors

• Andrea Sboner

  Weill Cornell Medicine

  1023 shared

• Juan Miguel Mosquera

  Weill Cornell Medicine

  950 shared

• Himisha Beltran

  680 shared

• Mark A. Rubin

  University of Bern

  524 shared

• Rohan Bareja

  Lander Institute

  476 shared

• Michael Sigouros

  441 shared

• Bhavneet Bhinder

  398 shared

• Akanksha Verma

  397 shared

Awards & honors

• Walter B. Wriston Research Scholar

Similar researchers at Cornell University

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• Harel Weinsteinh-85
• Jan Krumsiekh-69