Valerie Faucon Morin
About Valerie Faucon Morin
Valerie Faucon Morin is a Machine Learning Engineer at Hyperscience, with a background in data science and machine learning research.
Title
Machine Learning Engineer
Current Role at Hyperscience
Valerie Faucon Morin is currently a Machine Learning Engineer at Hyperscience, based in New York, New York, United States. She has been with the company since 2021, bringing her extensive background in machine learning and data science to her role.
Previous Experience at Merck KGaA
Before joining Hyperscience, Valerie worked at Merck KGaA in Darmstadt, Hesse, Germany. She held the position of Senior Data Scientist from 2017 to 2021. In this capacity, she contributed to various data science projects and initiatives, leveraging her expertise in statistical analysis and machine learning.
Internships and Early Career
Valerie's career includes several internships that helped shape her expertise in data science and machine learning. In 2016, she was a Data Science Intern in Digital Marketing at MilliporeSigma in St. Louis, Missouri. Prior to that, she interned as a Statistics Intern at FAO in Rome, Italy, for a month in 2015. She also served as a Machine Learning Research Assistant in Professor Stanislav Shvartsman's Lab at Princeton University from 2015 to 2016 and worked as a Computer Science Instructor at iD Tech Camps in San Diego, California, during the summer of 2014.
Education and Academic Background
Valerie Faucon Morin completed her Bachelor of Science in Engineering in Operations Research & Financial Engineering from Princeton University. She studied there from 2013 to 2017. Before her university education, she attended The Pingry School, where she completed her high school education from 2009 to 2013.