Quan Chen

Quan Chen Email and Phone Number

Data Scientist and Computational Biologist @ Novartis
basel, basel-city, switzerland
Quan Chen's Location
Stamford, Connecticut, United States, United States
About Quan Chen

As a data scientist and computational biologist, I bring over 12 years of experience in genomics research. My career encompasses both independent initiatives and collaborative teamwork, spanning academia and industry. My proficiency extends across a diverse range of domains, including integrative multi-omics analysis, next-generation sequencing analysis, dynamic Bayesian networks, causality inferences, and genome-wide association studies.

Quan Chen's Current Company Details
Novartis

Novartis

View
Data Scientist and Computational Biologist
basel, basel-city, switzerland
Website:
novartis.com
Employees:
100036
Quan Chen Work Experience Details
  • Novartis
    Senior Expert
    Novartis Jan 2024 - Present
    East Hanover, New Jersey, United States
  • Sema4
    Senior Principal Scientist
    Sema4 Jul 2023 - Present
    Stamford, Connecticut, United States
    Conducted dynamic Bayesian network analysis to study dynamic effect mechanisms in lung functions by integrating clinical, physiological, and environmental data; applied methods to wearable device data.
  • Sema4
    Data Scientist Iii
    Sema4 Oct 2019 - Jul 2023
    Stamford, Connecticut, United States
    • Developed mixture impulse models to characterize temporal patterns in multi-modal data, integrating RNA-Seq, Luminex assays, and spectral flow cytometry data to study immune responses;• Developed cell-type-specific expression estimation methods using hierarchical models, derived analytical solutions, applied to RNAseq and CyTOF data.
  • Icahn School Of Medicine At Mount Sinai
    Senior Scientist
    Icahn School Of Medicine At Mount Sinai Dec 2017 - Oct 2019
    New York, New York, United States
    Developed the multivariate polynomial temporal genetic association (MPTGA) method for detecting temporal genetic loci (teQTLs) and the temporal genetic causality test (TGCT) for inferring causal relationships; applied to various studies including rapamycin response in yeast and virus-specific effects in mouse lung transcriptome.
  • Yale University
    Associate Research Scientist
    Yale University May 2016 - Dec 2017
    New Haven, Connecticut, United States
    Conducted genome-wide association studies of alcohol consumption and PTSD-related symptoms in US veterans, identified new genetic risk loci.
  • Yale University
    Postdoctoral Associate
    Yale University Feb 2015 - Apr 2016
    New Haven, Connecticut, United States
    Analyzed whole genome sequencing and microarray data and conducted population genetics studies for admixed populations.

Quan Chen Education Details

Frequently Asked Questions about Quan Chen

What company does Quan Chen work for?

Quan Chen works for Novartis

What is Quan Chen's role at the current company?

Quan Chen's current role is Data Scientist and Computational Biologist.

What schools did Quan Chen attend?

Quan Chen attended University Of Southern California, University Of Southern California, Peking University.

Who are Quan Chen's colleagues?

Quan Chen's colleagues are Sudhakar Tummala, Trudy Mcgarry, Cathrine Gehrke, Jakub Ol, Swaroop Bhuyan, Stacy Glantz, Abdula Husam.

Not the Quan Chen you were looking for?

  • Quan Chen

    Lexington, Ky
    2
    uky.edu, uky.edu
  • Quan Chen

    Austin, Tx
    4
    harley-davidson.com, uwm.edu, harley-davidson.com, accuray.com

    2 +171784XXXXX

  • Quan Chen

    Associate Professor At University Of Science And Technology Of China
    Los Angeles, Ca
    2
    gmail.com, ustc.edu.cn

    2 +148076XXXXX

  • Quan Chen

    Software Engineer At Circle
    Los Angeles, Ca
    1
    timewarner.com

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.