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Min Young Lee Email & Phone Number

Associate Scientific Director at Takeda Oncology
Location: Cambridge, Massachusetts, United States 9 work roles 1 school
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Current company
Role
Associate Scientific Director
Location
Cambridge, Massachusetts, United States

Who is Min Young Lee? Overview

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Quick answer

Min Young Lee is listed as Associate Scientific Director at Takeda Oncology, based in Cambridge, Massachusetts, United States. AeroLeads shows a matched LinkedIn profile for Min Young Lee.

Min Young Lee previously worked as Principal Scientist at Takeda Oncology and Senior Scientist at Takeda Oncology. Min Young Lee holds Doctor Of Philosophy (Ph.D.), Systems Biology from Pohang University Of Science And Technology.

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Email format at Takeda Oncology

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Takeda Oncology

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Profile bio

About Min Young Lee

Systems Biology, Computational Biology, Bioinformatics, Multi-omics Data Integration, Biomarker Discovery, Oncology Drug Discovery and Development

Listed skills include Systems Biology, Proteomics, Ngs, Microarray Analysis, and 3 others.

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Min Young Lee's current company

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Takeda Oncology
Takeda Oncology
Associate Scientific Director
Cambridge, MA, US
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9 roles

Min Young Lee work experience

A career timeline built from the work history available for this profile.

Associate Scientific Director

Current

Cambridge, MA, US

Aug 2024 - Present

Principal Scientist

Cambridge, MA, US

Oct 2022 - Jul 2024

Research Scientist Ii

Cambridge, MA, US

Computational biology support for Oncology drug discovery and development

Nov 2019 - Mar 2022

Postdoctoral Fellow

Seattle, Washington, US

  • Hood-Price Lab.
  • Analyzed proteomics, microarray, small RNA-Seq data of Sepsis and PTSD patients to discover biomarkers
  • Stratified sepsis patients based on molecular signature
  • Explored sepsis-specific host inflammatory response during onset and diagnosis of sepsis
  • Analyzed PacBio Iso-Seq, Illumina RNA-seq, and small RNA-seq data of Borrelia burgdorferi to improve gene annotations
Aug 2015 - Sep 2019

Visiting Academic

Woolloongabba, QLD, AU

  • Dr. Alex Cristino Lab.
  • Integrated systems analysis of serum proteome profiles of individual drug responses in MDD patients
May 2015 - Jun 2015

Postdoctoral Fellow

Seoul, Seoul, KR

  • Functional Systems Biochemistry Lab.
  • Discovered proteomic and integrated biomarker panels of major depression using SVM and logistic regression
  • Discovered metastasis associated signaling pathways and drug sensitivity associated lipid signatures through analysis of proteomics and lipidomics data of cancers
Sep 2013 - Jun 2015

Student Research Associate

Seoul, KR

  • Functional Proteomics Center
  • Discovered a protein biomarker panel of chemotherapy resistance of breast cancer using PLS
Sep 2009 - Mar 2012
1 education record

Min Young Lee education

  • Pohang University Of Science And Technology
    Pohang University Of Science And Technology
    Systems Biology
FAQ

Frequently asked questions about Min Young Lee

Quick answers generated from the profile data available on this page.

What company does Min Young Lee work for?

Min Young Lee works for Takeda Oncology.

What is Min Young Lee's role at Takeda Oncology?

Min Young Lee is listed as Associate Scientific Director at Takeda Oncology.

Where is Min Young Lee based?

Min Young Lee is based in Cambridge, Massachusetts, United States while working with Takeda Oncology.

What companies has Min Young Lee worked for?

Min Young Lee has worked for Takeda Oncology, Institute For Systems Biology, Translational Research Institute Australia, Kyung Hee University, and Korea Institute Of Science And Technology.

How can I contact Min Young Lee?

You can use AeroLeads to view verified contact signals for Min Young Lee at Takeda Oncology, including work email, phone, and LinkedIn data when available.

What schools did Min Young Lee attend?

Min Young Lee holds Doctor Of Philosophy (Ph.D.), Systems Biology from Pohang University Of Science And Technology.

What skills is Min Young Lee known for?

Min Young Lee is listed with skills including Systems Biology, Proteomics, Ngs, Microarray Analysis, Matlab, Machine Learning, and Lipidomics.

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