Qi Song

FAQ About Qi Song

• What is Qi Song's address?

  Qi Song is located at
  Lawrence, New Jersey, United States

• What is Qi Song's job title?

  Qi Song is a
  The power of data science and machine learning has accelerated the biology discovery and large-scale screening of gene candidates. Of note, characterizing the associations among genes can not only improve systematic understanding of disease associated pathways but also uncover novel candidate genes/biomarkers for therapies. My research focuses on developing machine learning based tool to unveil biological associations or applying/building computational tools to model single cell genomic data. Particularly, I have developed : 1) a multi-task learning based framework to reconstruct gene regulatory relationship from single cell data (Nucleic Acids Research, https://academic.oup.com/nar/article/51/7/e38/7033788)。 2) an unsupervised clustering tool for analyzing single cell data (Genome Biology, https://genomebiology.biomedcentral.com/articles/10.1186/s13059-022-02716-9). 3) drug discovery tool for Idiopathic Pulmonary Fibrosis (IPF). 4) a machine learning based framework for reconstructing stress response regulatory networks (Nucleic Acids Research, https://academic.oup.com/nar/article/48/11/e62/5824611) I have also been involved in several other single cell genomic projects that cover different themes: 1) machine-learning based aging effect prediction with senescence gene markers (under review). 2) probabilistic model based cell ordering for single cell genomic data. Bristol Myers Squibb

• What industry does Qi Song currently work in?

  Qi Song currently works in the
  Bristol Myers Squibb

• What is Qi Song's area of expertise?

  Qi Song specializes in
  The power of data science and machine learning has accelerated the biology discovery and large-scale screening of gene candidates. Of note, characterizing the associations among genes can not only improve systematic understanding of disease associated pathways but also uncover novel candidate genes/biomarkers for therapies. My research focuses on developing machine learning based tool to unveil biological associations or applying/building computational tools to model single cell genomic data. Particularly, I have developed : 1) a multi-task learning based framework to reconstruct gene regulatory relationship from single cell data (Nucleic Acids Research, https://academic.oup.com/nar/article/51/7/e38/7033788)。 2) an unsupervised clustering tool for analyzing single cell data (Genome Biology, https://genomebiology.biomedcentral.com/articles/10.1186/s13059-022-02716-9). 3) drug discovery tool for Idiopathic Pulmonary Fibrosis (IPF). 4) a machine learning based framework for reconstructing stress response regulatory networks (Nucleic Acids Research, https://academic.oup.com/nar/article/48/11/e62/5824611) I have also been involved in several other single cell genomic projects that cover different themes: 1) machine-learning based aging effect prediction with senescence gene markers (under review). 2) probabilistic model based cell ordering for single cell genomic data.

• Which languages does Qi Song speak? 

  Qi Song speaks the following languages:
  No languages available.

• Which industries has Qi Song previously worked in?   

  Qi Song has prior experience in the following industries:
  Carnegie Mellon University , Brigham And Womens Hospital , Harvard Medical School , Virginia Tech

• What is Qi Song’s work experience?  

  Qi Song has the following professional experience:
  Bristol Myers Squibb , Carnegie Mellon University , Brigham And Womens Hospital , Harvard Medical School , Virginia Tech .

• How can I find Qi Song on LinkedIn?  

  You can view Qi Song’s
  LinkedIn profile at LinkedIn URL.

• What are Qi Song’s work email addresses?  

  Qi Song’s work email addresses are
  [email protected] .

• What company does Qi Song work for?  

  Qi Song works at
  Bristol Myers Squibb