Berenice Dethier, PhD

Data Scientist at Jvion
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Contact Information
us****@****om
(386) 825-5501
Location
Tulsa, Oklahoma, United States, US
Languages
  • Allemand Full professional proficiency
  • Français Native or bilingual proficiency
  • Anglais Full professional proficiency

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Jen Wu

I'd highly recommend working with Berenice. A clear and thoughtful communicator, she takes time to understand the issues at hand comprehensively. Our ML project involved both teamwork and individual initiative, and she is great at both!

Cdr Dhiraj Khanna (retd.)

I have had the pleasure of mentoring Berenice over the last 9 months in her journey of becoming a data scientist. The work she has done during this time period is indeed commendable. It was a pleasure working with her on two real world problems with great usability in the real world. Apart from her technical acumen, and the ability to grasp new concepts with ease, the one thing that really stands out is her attitude towards problem solving. She is very creative in her approach towards solving problems and comes out with the most innovative solutions to difficult problems. Knowing how to apply a machine learning algorithm to a problem is not the real solution. The ability to do some clever feature engineering, augment the given data and apply principles from other scientific disciplines, is really what makes her stand out. I have no doubt that Berenice will be a priceless asset to whichever organization she decides to lend her services too. I wish her the very best in all her future endeavours.

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Credentials

  • edX Certificate - Machine Learning for Healthcare
    MITx on edX
    Jun, 2021
    - Nov, 2024

Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Data Scientist
      • Jun 2021 - Present

    • United States
    • Hospitals and Health Care
    • Data Scientist
      • Aug 2020 - Jun 2021

      I am building a tool to assist physicians in finding the best treatment for chronically-ill patients using Big Data. I work with a fantastic team at Aevus Precision Rx, a startup creating an AI-powered prescription guidance platform. We are currently focusing on Type 2 diabetes.On a typical day, I perform some of the following tasks:- data wrangling (from Electronic Health Records)- feature engineering- machine learning model development and performance evaluation- discussions about model explainability with subject-matter experts (physicians)- presentations to stakeholdersI also contribute to other aspects of the product development (UI/UX, data partnerships, startup stuff, etc.)

    • United States
    • Pharmaceutical Manufacturing
    • 100 - 200 Employee
    • Research Scientist
      • Nov 2016 - Mar 2020

      - Project Management (yearly budget ~ $500K)- Analytical method development and validation (HPLC, GC) for 30+ APIs- Stability study and release testing - Project Management (yearly budget ~ $500K)- Analytical method development and validation (HPLC, GC) for 30+ APIs- Stability study and release testing

    • United States
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • May 2015 - Aug 2016

    • United States
    • Higher Education
    • 700 & Above Employee
    • Teaching assistant
      • Aug 2014 - Aug 2015

      Teaching Organic Chemistry labs Teaching Organic Chemistry labs

    • Belgium
    • Higher Education
    • 700 & Above Employee
    • Research and teaching assistant
      • Oct 2010 - Aug 2014

      Coordination of undergraduate organic chemistry laboratories, coordination and design of a problem-based graduate organic synthesis course, teaching (problem sessions) freshman general chemistry course Coordination of undergraduate organic chemistry laboratories, coordination and design of a problem-based graduate organic synthesis course, teaching (problem sessions) freshman general chemistry course

Education

  • Springboard
    Data Science Career Track, Data Science
    2019 - 2020
  • State University of New York at Albany
    Doctor of Philosophy (PhD), Chemistry
    2013 - 2016
  • Université de Liège
    Research Doctorate, Sciences agronomiques et ingénierie biologique
    2010 - 2016
  • Université de Mons-Hainaut
    Agrégation de l'enseignement secondaire supérieur, Chimie, biologie
    2011 - 2013
  • University of Natural Resources and Life Sciences, Vienna
    Life Sciences
    2009 - 2010
  • Université de Liège
    Master's degree, Bio-engineering (Chemistry and bioindustries)
    2008 - 2010
  • Faculté universitaire des Sciences agronomiques de Gembloux
    Bachelor's degree, Bio-engineering
    2005 - 2008

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