Valerie Morin
About Valerie Morin
Valerie Morin is a Machine Learning Engineer at Hyperscience with a background in data science and engineering from Princeton University.
Current Role at Hyperscience
Valerie Morin currently works as a Machine Learning Engineer at Hyperscience in New York, New York, United States. She has been with the company since 2021. In her role, she focuses on developing and optimizing machine learning models to improve the company’s automated document processing solutions. Her contributions aid in enhancing the efficiency and accuracy of data extraction and classification tasks.
Experience at Merck KGaA
Valerie Morin worked at Merck KGaA in Darmstadt, Germany, holding two roles over a span of four years. From 2017 to 2020, she served as a Data Scientist, where she applied her expertise in data analysis to support various projects. She was later promoted to Senior Data Scientist, a role she held from 2020 to 2021, further advancing her skills in data science and contributing to more complex projects and initiatives within the company.
Previous Internships
Valerie Morin gained valuable experience through several internships early in her career. In 2016, she worked as a Data Science Intern in Digital Marketing at MilliporeSigma in St. Louis, Missouri. In 2015, she interned at the Food and Agriculture Organization (FAO) in Rome, Italy, focusing on statistics. Additionally, she was a Machine Learning Research Assistant at Princeton University for one year from 2015 to 2016, working in Professor Stanislav Shvartsman’s lab.
Education at Princeton University
Valerie Morin studied at Princeton University, where she earned a Bachelor of Science in Engineering in Operations Research & Financial Engineering. She studied there from 2013 to 2017. During her time at Princeton, she developed a strong foundation in quantitative analysis, optimization, and machine learning, which has been instrumental in her professional career.
Early Teaching Experience
In 2014, Valerie Morin served as a Computer Science Instructor at iD Tech Camps in San Diego, California. During this two-month period, she taught computer science fundamentals to young students, helping them develop basic programming skills. This experience provided her with the opportunity to impart her knowledge and passion for technology to the next generation.