Samuel Owen

Samuel Owen has a diverse work experience in various roles and companies. Samuel started their career as a Lab Assistant at Caltech in 2017. In 2018, they worked as a Software Engineering Intern at Impossible Sensing, where they integrated a FREEDOM Spectrometer with an end-to-end Raman system. Samuel also gained experience in data handling software using Python.

In 2019, Samuel joined Honeybee Robotics as a Software Engineer Intern, where they developed code for a flight controller to control Honeybee Robotics' systems for deep space missions. Samuel then moved to Impossible Sensing as a Software Engineer, assembling a new miniature Raman spectrometer for the VAMPYR Project.

Samuel continued their academic journey while working part-time as a Data Scientist at IKASI, starting in 2019. Their responsibilities involved aggregating COVID-19 serological test results and applying Bayesian statistical modeling to make the results comparable. These results were used to inform governmental decision-making and the allocation of future tests and vaccines.

At IKASI, Samuel grew in their role and was promoted to Data Scientist in 2021, and subsequently to Lead Data Scientist in 2022. As Lead Data Scientist, they have taken on more significant responsibilities in leading and managing data science projects.

Throughout their work experience, Samuel has demonstrated their skills in data analysis, statistical modeling, machine learning, software development, and integration of scientific instruments.

Samuel Owen completed their high school education at St. Louis University High, where they earned their High School Diploma. Following this, they attended Caltech but did not indicate the specific years of enrollment. At Caltech, Samuel pursued a Bachelor's degree in Computer Science and Bioengineering.