Richard Decal
About Richard Decal
Richard Decal is a Senior Machine Learning Engineer at Dendra Systems, where he develops machine learning models to improve smart drones for ecosystem restoration. He has a diverse background in data science and research, with previous roles at PaceMate™, the Allen Institute for Brain Science, and the University of Washington.
Work at Dendra Systems
Richard Decal has been employed at Dendra Systems as a Senior Machine Learning Engineer since 2020. In this role, he develops machine learning models aimed at enhancing the efficiency of smart drones utilized in ecosystem restoration. His work focuses on leveraging technology to tackle global challenges related to ecosystem degradation. Additionally, he has contributed to the automation of ecosystem management processes within the organization.
Previous Experience
Prior to his current position, Richard Decal held various roles in the field of data science and research. He worked as a Lead Data Scientist at PaceMate™ for six months in 2019 and also served as a Data Scientist at the same company for four months in the same year. His experience includes a Research Fellowship at the Allen Institute for Brain Science in 2018 and a Research Assistant position at the University of Washington from 2014 to 2016. He also gained research experience as a Research Fellow at Carnegie Mellon University and the New College of Florida.
Education and Expertise
Richard Decal earned a Master's degree in Data Science from New College of Florida, where he studied from 2017 to 2019. He also holds a Bachelor of Arts (Honors) in Chemistry/Biology from the same institution, completed between 2007 and 2011. Additionally, he studied Molecular Biology at Harriet L. Wilkes Honors College for one year. Richard further enhanced his skills by obtaining a Nanodegree in Machine Learning Engineering from Udacity in 2017.
Specialization in Machine Learning
Richard Decal specializes in applying computer vision techniques to monitor and analyze environmental changes. His expertise in machine learning enables him to develop innovative solutions for ecological challenges. His work at Dendra Systems exemplifies his commitment to using technology for environmental restoration and management.