プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Dr. David E.に依頼

United States

Molecular biologist with assay development and data analysis experience, experienced R programmer

プロフィール概要

Inventor of chemistry for high-sensitivity, high-multiplex nucleic acid quantification. Extensive knowledge of liquid biopsy technology. Extensive experience with experimental design, data analysis and graphical presentation of results, especially with the R platform.

専門分野

• ★ Biomarkers
• ★ Gene Expression Analysis
• ★ R
• ☆ Biochemistry
• ☆ Molecular Biology
• ☆ Microarrays
• ☆ Omics
• ☆ Transcriptomics
• ☆ PCR
• ☆ Next Generation Sequencing (NGS)
• ☆ RNA Sequencing
• ☆ Data Analysis
• ☆ Algorithm Design
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Data Cleaning
• ☆ Statistics
• ☆ Applied Statistics
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Nonlinear Regression
• ☆ Correlation Analysis
• ☆ Statistical Computing
• ☆ Bioinformatics
• ☆ Gene & Protein Expression Analysis
• ☆ Biomarker Discovery
• ☆ Excel
• ☆ In vitro Diagnostics
• ☆ In vitro Diagnostic Design
• ☆ Biomarker Analysis
• ☆ Clinical Laboratory Science
• ☆ Molecular Pathology
• ☆ Product Validation
• ☆ Concept Development
• ☆ Hypothesis
• ☆ Research Methodology
• ☆ User Research
• ☆ Quantitative User Research
• ☆ Feasibility Studies
• ☆ Technology Scouting
• ☆ Literature Search
• ☆ Technical & Scientific Writing
• ☆ Manuscript & Journal Article Writing
• ☆ Experimental Protocols
• ☆ SOP & Protocol Writing
• ☆ White Papers
• ☆ Spec Sheets
• ☆ Science Communication
• ☆ Literature Review
• ☆ Traditional/Narrative Literature Review
• ☆ Systematic Literature Review
• ☆ Grant Writing
• ☆ Intellectual Property Law

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing

Research Feasibility Study, Technology Scouting, Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Data Visualization, Data Cleaning, Data Processing

Product Development Product Validation, Concept Development, Prototyping

職務経験

VP R&D

ANGLE Biosciences, Inc.

10月 2017 - 10月 2022

VP, R&D

Axela

2月 2010 - 9月 2017

VP, Technology Development

Xceed Molecular

1月 2005 - 1月 2010

Principle Scientest

GeneXP Bioscience

9月 2002 - 12月 2004

Director, Applied Research

Packard Biosciences, Inc.

1月 1991 - 5月 2002

学歴

PhD in Biology

SUNY at Albany

9月 1973 - 1月 1978

BS in Chemical Engineering

SUNY Buffalo

9月 1967 - 6月 1971

認定資格

• ISO 13485

  ANGLE Biosciences, Inc

  1月 2019 - 現在

出版物

JOURNAL ARTICLE

Moore RG, Khazan N, Coulter MA, Singh R, Miller MC, Sivagnanalingam U, DuBeshter B, Angel C, Liu C, Seto K, et al. (2022). Malignancy Assessment Using Gene Identification in Captured Cells Algorithm for the Prediction of Malignancy in Women With a Pelvic Mass . Obstetrics and gynecology.

Berger RP, Pak BJ, Kolesnikova MD, Fromkin J, Saladino R, Herman BE, Pierce MC, Englert D, Smith PT, Kochanek PM (2017). Derivation and Validation of a Serum Biomarker Panel to Identify Infants With Acute Intracranial Hemorrhage . JAMA pediatrics.

Quinn MC, Wilson DJ, Young F, Dempsey AA, Arcand SL, Birch AH, Wojnarowicz PM, Provencher D, Anne-Marie Mes-Masson, Englert D, et al. (2009). The chemiluminescence based Ziplex automated workstation focus array reproduces ovarian cancer Affymetrix GeneChip expression profiles . Journal of translational medicine.

Broude NE, Woodward K, Cavallo R, Cantor CR, Englert D (2001). DNA microarrays with stem-loop DNA probes: preparation and applications . Nucleic acids research.

Broude NE, Zhang L, Woodward K, Englert D, Cantor CR (2001). Multiplex allele-specific target amplification based on PCR suppression . Proceedings of the National Academy of Sciences of the United States of America.

Broude NE, Zhang L, Woodward K, Englert D, Cantor CR (2001). Multiplex allele-specific target amplification based on PCR suppression . Proceedings of the National Academy of Sciences of the United States of America.

BOOK CHAPTER

ISBN: 978-0-471-37972-0 .