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Highly data science professional with extensive academic and professional experience in research project design, statistical analysis, data modeling and presentation of results, especially in healthcare area. Possess passion for learning, skill in creative problem-solving, and strong drive to gain business insights from quantitative analysis. Communicative and team-oriented with proven ability to explain methods, results, and strategic implications to executive teams and non-technical stakeholders.
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Lead Machine Learning EngineerFinthriveSnellville, Ga, Us
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Lead Machine Learning EngineerFinthrive May 2022 - PresentPlano, Tx, Us -
Sr. Data ScientistAnthem, Inc. May 2021 - May 2022Indianapolis, Indiana, Us -
Sr.Data ScientistNthrive Nov 2018 - May 2021Plano, Tx, Us
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Research Scientist --- Focus On Data Analytics And Experiment DevelopmentArgent Diagnostics, Inc. May 2013 - Feb 2015Designed experiments using Raman Spectroscopy to develop a rapid and sensitive test for Measles Virus (MeV) subtypes. Collected data for 24 MeV subtypes and performed classification analysis. Key Accomplishments:• Developed, validated, and compared Partial Least Square (PLS) and Support Vector Machine (SVM) models to classify MeV subtypes; determined SVM method was superior.• Summarized and presented results to the customers and clients -
Postdoctoral Fellow --- Focus On Data ModelingPrecision Biopsy Llc Aug 2012 - May 2013Aurora, Co, UsCollaborated in a multifunctional team to develop prototypes of a portable fluorometer for in-vivo prostate cancer diagnosis. Cleaned data to remove items with extremely low signal noise ratio; used background subtraction, data smoothing, and data normalization to prepare data for analysis. Used SQL to manipulate spectral and histological data.Key Accomplishments:• Used hybrid model of partial least square and support vector machine to predict and classify benign and malignancy in prostate cancer; achieved 35% increase in sensitivity compared to existing methods; research outcomes supported $4M venture capital investment. -
Postdoctoral FellowHouston Methodist Apr 2011 - Apr 2012Houston, Texas, Us• Development of a new method for blood cancer subtypes identification using the combination techniques of optical imaging and spectroscopy.• Classified blood cancer subtypes using principle component analysis and partial least square analysis to support development of identification methods for new subtypes using optical imaging and spectroscopy -
InternshipAdvanced Optowave Corporation Mar 2010 - Sep 2010Ronkonkoma, Ny, UsOptical trace simulation and design for optical parametric oscillators
Yongjun Liu Skills
Yongjun Liu Education Details
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University Of Georgia - Franklin College Of Arts And SciencesPhysics -
Georgia State University - J. Mack Robinson College Of BusinessMathematical Risk Management And Insurance
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Huazhong University Of Science And TechnologyPhysical Electroincs
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Central China Normal UniversityPhysics And Mathematics
Frequently Asked Questions about Yongjun Liu
What company does Yongjun Liu work for?
Yongjun Liu works for Finthrive
What is Yongjun Liu's role at the current company?
Yongjun Liu's current role is Lead Machine Learning Engineer.
What is Yongjun Liu's email address?
Yongjun Liu's email address is yo****@****hem.com
What is Yongjun Liu's direct phone number?
Yongjun Liu's direct phone number is +171339*****
What schools did Yongjun Liu attend?
Yongjun Liu attended University Of Georgia - Franklin College Of Arts And Sciences, Georgia State University - J. Mack Robinson College Of Business, Huazhong University Of Science And Technology, Central China Normal University.
What skills is Yongjun Liu known for?
Yongjun Liu has skills like Solid Analytical Skills, Microsoft Office, Microsoft Excel, Microsoft Word, Research, Powerpoint.
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