Jeff Hammerbacher
#12,071
Most Influential Person Now
Data scientist
Jeff Hammerbacher's AcademicInfluence.com Rankings
Jeff Hammerbachercomputer-science Degrees
Computer Science
#987
World Rank
#1023
Historical Rank
Data Science
#7
World Rank
#7
Historical Rank
Big Data
#11
World Rank
#11
Historical Rank
Machine Learning
#144
World Rank
#145
Historical Rank
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Computer Science
Why Is Jeff Hammerbacher Influential?
(Suggest an Edit or Addition)According to Wikipedia, Jeff Hammerbacher is a data scientist. He was chief scientist and cofounder at Cloudera and later served on the faculty of the Icahn School of Medicine at Mount Sinai. Early life Hammerbacher grew up in Fort Wayne, Indiana. His father worked at the General Motors plant and his mother was a nurse. From an early age he had an interest in numbers.
Jeff Hammerbacher's Published Works
Published Works
- Genomic Features of Response to Combination Immunotherapy in Patients with Advanced Non-Small-Cell Lung Cancer (2018) (688)
- MHCflurry: Open-Source Class I MHC Binding Affinity Prediction. (2018) (258)
- Contribution of systemic and somatic factors to clinical response and resistance to PD-L1 blockade in urothelial cancer: An exploratory multi-omic analysis (2017) (225)
- Beautiful Data: The Stories Behind Elegant Data Solutions (2009) (166)
- The Covid-Tracking Project (2020) (140)
- Defining HLA-II Ligand Processing and Binding Rules with Mass Spectrometry Enhances Cancer Epitope Prediction. (2019) (136)
- Somatic Mutations and Neoepitope Homology in Melanomas Treated with CTLA-4 Blockade (2016) (95)
- Rethinking Data-Intensive Science Using Scalable Analytics Systems (2015) (93)
- T cells genetically engineered to overcome death signaling enhance adoptive cancer immunotherapy (2019) (92)
- Coral: Clear and Customizable Visualization of Human Kinome Data. (2018) (78)
- Using a Machine Learning Approach to Predict Outcomes after Radiosurgery for Cerebral Arteriovenous Malformations (2016) (77)
- PI3Kδ Inhibition Enhances the Antitumor Fitness of Adoptively Transferred CD8+ T Cells (2017) (44)
- Computational Pipeline for the PGV-001 Neoantigen Vaccine Trial (2017) (44)
- Cytokit: a single-cell analysis toolkit for high dimensional fluorescent microscopy imaging (2018) (44)
- Anti–CTLA-4 Activates Intratumoral NK Cells and Combined with IL15/IL15Rα Complexes Enhances Tumor Control (2019) (39)
- Chemotherapy weakly contributes to predicted neoantigen expression in ovarian cancer (2016) (31)
- How Will Big Data Improve Clinical and Basic Research in Radiation Therapy? (2016) (26)
- Vaxrank: A computational tool for designing personalized cancer vaccines (2017) (24)
- Joint longitudinal and time-to-event models for multilevel hierarchical data (2018) (21)
- pileup.js: a JavaScript library for interactive and in-browser visualization of genomic data (2016) (20)
- Mutations in an Innate Immunity Pathway Are Associated with Poor Overall Survival Outcomes and Hypoxic Signaling in Cancer (2018) (18)
- Defining HLA-II ligand processing and binding rules with mass spectrometry enhances cancer epitope prediction. (2021) (18)
- Informatics for Cancer Immunotherapy (2017) (17)
- Viable and efficient electroporation-based genetic manipulation of unstimulated human T cells (2018) (11)
- Predicting Peptide-MHC Binding Affinities with Imputed Training Data (2016) (10)
- Mutation-Derived Tumor Antigens: Novel Targets in Cancer Immunotherapy. (2015) (10)
- invis: Exploring high-dimensional RNA sequences from in vitro selection (2013) (9)
- Cytokit: a single-cell analysis toolkit for high dimensional fluorescent microscopy imaging (2019) (8)
- Electroporation characteristics of human primary T cells (2018) (7)
- Massively parallel quantification of phenotypic heterogeneity in single-cell drug responses (2020) (7)
- Human primary T cells: A practical guide (2018) (6)
- Bioinformatics Workflow Management With The Wobidisco Ecosystem (2017) (4)
- Infino: a Bayesian hierarchical model improves estimates of immune infiltration into tumor microenvironment (2017) (3)
- MHCflurry: open-source class I MHC binding affinity prediction (2017) (3)
- A phase I study of the safety and immunogenicity of a multi-peptide personalized genomic vaccine in the adjuvant treatment of solid tumors and hematological malignancies. (2019) (2)
- Multi-omic analysis of urothelial cancer patients treated with PD-L1 blockade demonstrates the contribution of both systemic and somatic factors to the biology of response and resistance (2016) (2)
- MHCflurry: Open-Source Class I MHC Binding Affinity Prediction (2018) (2)
- Prohlatype: A Probabilistic Framework for HLA Typing (2018) (2)
- Extracting T Cell Function and Differentiation Characteristics from the Biomedical Literature (2019) (1)
- Coral: Clear and customizable visualization of human kinome data (2018) (1)
- PI3Kδ inhibition supports memory T cells with enhanced antitumor fitness (2017) (1)
- Chemotherapy weakly contributes to predicted neoantigen expression in ovarian cancer (2018) (1)
- Computational and experimental optimization of T cell activation (2019) (1)
- hammerlab/ketrew.2.0.0 (2015) (1)
- Towards a scaled-up T cell-mediated cytotoxicity assay in 3D cell culture using microscopy (2019) (1)
- Abstract A022: Computational pipeline for a personalized genomic vaccine trial (2016) (1)
- Human Primary T Cells: A Practical Guide v3 (2018) (0)
- Discovering tumor-reactive T-cell receptors through single-cell sequencing of tumor-infiltrating lymphocytes (2021) (0)
- Abstract B23: Enhanced HLA-II epitope prediction for immunotherapy with novel proteomics and genomics approaches (2020) (0)
- mhcflurry: Testing of released models (2016) (0)
- An Imminent Approach for Genome Sequence and Analysis using Map Reduce (2016) (0)
- In vitro pmel-1 T cell-mediated cytotoxicity assay with CytoTox-ONE Homogenous Membrane Integrity Assay (Promega) v1 (2019) (0)
- Abstract A005: A phase I study of the safety and immunogenicity of a multipeptide personalized genomic vaccine in the adjuvant treatment of solid cancers (2019) (0)
- Preparing primary T cells for fluorescence microscopy v1 (2018) (0)
- Staining cells with IncuCyte Cytolight Rapid Dyes for flow cytometry or fluorescent microscopy v1 (2019) (0)
- Probing the increase in neoantigen burden at recurrence in ovarian cancer (2016) (0)
- Human Primary T Cells: A Practical Guide v4 (2018) (0)
- PBMC isolation from buffy coat v2 (2018) (0)
- Flow-cytometry-based in vitro assay for assessing T-cell-mediated cytotoxicity against a target cell line (24-well plate, pmel-1 or OT-I T cells, MC38 cell line) v4 (2019) (0)
- 289 PGV-001: a phase 1 trial of a personalized neoantigen peptide vaccine for the treatment of malignancies in the adjuvant setting (2020) (0)
- Human Primary T Cells: A Practical Guide v6 (2018) (0)
- Resazurin viability assay for human primary T cells in 96-well format v1 (2018) (0)
- Flow-cytometry-based in vitro assay for assessing T-cell-mediated cytotoxicity against a target cell line (24-well plate, pmel-1 or OT-I T cells, MC38 cell line) v1 (2019) (0)
- Human primary T cell culture media v1 (2018) (0)
- Human primary T cell culture media v2 (2019) (0)
- CRISPR/Cas9-based knock-out in human primary T cells (24-well setup) v1 (2018) (0)
- Human Primary T Cells: A Practical Guide v2 (2018) (0)
- Patient-Specific Mutation-Derived Tumor Antigens As Targets for Cancer Immunotherapy in Multiple Myeloma (2015) (0)
- Human Primary T Cells: A Practical Guide v5 (2018) (0)
- Beyond Summarization: Designing AI Support for Real-World Expository Writing Tasks (2023) (0)
- Contribution of systemic and somatic factors to clinical response and resistance in urothelial cancer: an exploratory multi-omic analysis (2017) (0)
- Cycledash: a web application for the interactive analysis and exploration of variants (2017) (0)
- Measuring relative reactivity of mouse TCRs against a mouse cancer cell line v1 (2020) (0)
- 364 Antigen abundance and TCR avidity impact T cell-mediated tumor recognition in novel B16F10 ACT model (2022) (0)
- MC38 and B16-F10 culture media v1 (2019) (0)
- Heterogeneity of mutated tumor antigens in a single high grade ovarian serous carcinoma (2015) (0)
- Human Primary T Cells: A Practical Guide v1 (2018) (0)
- Personalized neoantigen vaccination with synthetic long peptides (2014) (0)
- Neoantigen homology and predicting response to immune checkpoint blockade in cancer (2015) (0)
- Image-based 3D cell culture cytotoxicity assay v1 (2019) (0)
- PBMC isolation from buffy coat v1 (2018) (0)
- Flow-cytometry-based in vitro assay for assessing T-cell-mediated cytotoxicity against a target cell line (24-well plate, pmel-1 or OT-I T cells, MC38 cell line) v3 (2019) (0)
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What Schools Are Affiliated With Jeff Hammerbacher?
Jeff Hammerbacher is affiliated with the following schools: