Hong Gao in

Hong Gao

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Assoc. Principal Bioinformatics Scientist at Illumina
📍 Stanford, California, United States

Hong Gao is an Associate Principal Bioinformatics Scientist at Illumina, leveraging a Ph. D. from Cornell University to specialize in deep learning algorithms for genomic data. Their expertise lies in developing novel methods for variant interpretation and SNP characterization, reflecting a deep background in computational biology and statistical genetics.

Based on their stated interests, Hong appears focused on the intersection of large-scale technology and life sciences, following major industry players like Google and pharmaceutical giant GSK.

Unique fact: Hong is a prolific inventor in the bioinformatics space, having filed multiple patents for technologies like deep learning-based pathogenicity classifiers.

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Experience
14 Years
Current Role
Assoc. Principal Bioinformatics Scientist
Job Level
Mid-senior
Location
Stanford, California, United States
Personality Overview

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Priorities

Topics Hong cares about

Deep Learning Models
Develops deep learning algorithms for genomic variant interpretation and holds patents for deep convolutional neural network (CNN) classifiers.
Genomic Variant Interpretation
A core focus of their work at Illumina, including publishing research on predicting the clinical impact of human mutations using neural networks.
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Career

Work history

4-2023
Assoc. Principal Bioinformatics Scientist
Illumina
5-2018
Staff Bioinformatics Scientst
Illumina
12-2015 - 5-2018
Senior Bioinformatics Scientist
Illumina
7-2021
Senior Staff Bioinformatics Scientist
Illumina, Inc.
4-2012 - 3-2013
Bioinformatics Scientist II
Affymetrix
In the press

Media appearances

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Education
2004 - 2008
Ph. D.
Cornell University
2001 - 2004
Bachelor of Science (BS)
Fudan University
Social presence
in
Behavioral profile

DISC profile (public)

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