Cory Giles
About Cory Giles
Cory Giles is a Staff Scientist at the Oklahoma Medical Research Foundation, specializing in biological classification and regression tasks using PyTorch and TensorFlow. He holds a PhD in Biochemistry and Molecular Biology from the University of Oklahoma Health Sciences Center and has a diverse programming skill set.
Work at Oklahoma Medical Research Foundation
Cory Giles has been employed at the Oklahoma Medical Research Foundation since 2022, serving as a Staff Scientist. In this role, he applies his expertise in biological classification and regression tasks, utilizing advanced programming skills and machine learning techniques. Prior to his current position, he worked as a Computational Postdoctoral Fellow at the same institution from 2017 to 2023, where he contributed to various research projects and initiatives.
Education and Expertise
Cory Giles earned his Doctor of Philosophy (PhD) in Biochemistry and Molecular Biology from the University of Oklahoma Health Sciences Center, completing his studies from 2010 to 2017. He also holds a Bachelor's degree in Biology from Oklahoma Christian University, which he obtained from 2006 to 2010. His educational background provides a strong foundation for his work in biological research and computational science.
Programming Skills and Technical Proficiency
Cory Giles possesses a diverse programming skill set, including proficiency in Python, R, C++, Java, Clojure, Julia, D, and Haskell. He is experienced in using machine learning frameworks such as PyTorch and TensorFlow for biological classification and regression tasks. Additionally, he is comfortable administering a Linux environment and has moderate experience with larger-scale computing systems, including SGE and Kubernetes.
Grant Writing Experience
Cory Giles has significant experience in grant writing, having actively participated in writing approximately 10 NIH grants. This involvement indicates his capability to secure funding for research projects and contribute to the scientific community through effective communication of research proposals.
Involvement in Machine Learning Competitions
Cory Giles participated in the first Kaggle competition, showcasing his early involvement in machine learning challenges. This experience reflects his commitment to advancing his skills in data science and his engagement with the broader machine learning community.