Samuel K.
About Samuel K.
Samuel K. serves as the Vice President of AI and Data Science at TICKR OmniView and is a Research Fellow at the University of California, Santa Cruz. He specializes in applying deep learning and machine learning techniques to astrophysical data and has held various roles in data science across multiple organizations.
Current Role at TICKR OmniView
Samuel K. serves as the Vice President of AI & Data Science at TICKR OmniView. He has held this position since 2021. In this role, he leads the development of natural language processing, deep learning, and time series products. His work focuses on integrating advanced data science techniques to enhance the company's offerings in AI.
Previous Experience at TICKR OmniView
Prior to his current role, Samuel K. worked at TICKR OmniView as the Lead Data Scientist from 2016 to 2020 and then as the Director of AI & Data Science from 2020 to 2021. During his tenure, he contributed to various projects that utilized machine learning and data science methodologies to drive innovation within the company.
Research Fellowship at University of California, Santa Cruz
Samuel K. has been a Research Fellow at the University of California, Santa Cruz since 2021. His research focuses on applying deep learning, computer vision, and machine learning techniques to astrophysical data. He engages in computational astrophysics research, contributing to the academic community through his findings and methodologies.
Educational Background
Samuel K. earned a Bachelor of Science degree in Physics from the University of California, Santa Cruz, completing his studies from 2010 to 2013. He furthered his education by obtaining a Master's degree in Information and Data Science from the University of California, Berkeley, from 2014 to 2016. This academic foundation supports his expertise in data science and its applications.
Career History and Early Experience
Before his current roles, Samuel K. gained experience as a Data Scientist on the Customer Intelligence Team at Salesforce from 2014 to 2015 and as a Machine Learning Researcher at NASA Ames Research Center from 2013 to 2014. He also worked as a Lead Data Scientist at Market.Space Inc from 2015 to 2016 and interned at Fullpower Technologies from 2007 to 2009. This diverse background has shaped his skills in data science and machine learning.