Ryan Cooper
MS CS with Specialization in Machine Learning @ Georgia Tech
BS CS / Minor in Math - Summa Cum Laude @ New Mexico Tech
Machine Learning Researcher and Enthusiast
Software Engineer
About Me
- Interned @ Sandia National Laboratories for 5 years
- Research focus in machine learning, information retrieval, and natural language processing, deep learning for text, and HPC-accelerated machine learning
- 7+ years of work-experience in the field of software engineering and applications of machine learning
- Experienced in: Python, C, Java, HTML, JavaScript, C#, C++, MATLAB, R, and LATEX
- See more about me on my: resume
Papers and Presentations
- CP2R: GPT-2 Conversational Pipeline using Relevance and Realism Discrimination (2021, Semester Project)
- Towards a Machine Learning-based framework for Academic Paper Pre-evaluation (2021, Semester Project)
- A Gait Speed Measurement System for the Clinical Workflow (2021, Semester Project)
- Conspiracy-BERT: A Pre-Trained Language Model for Conspiracy Theory Tweets (2020, Semester Project)
- A Semi-Supervised Approach for Image Labeling with Affinity Coding (2020, Semester Project)
- Configuring Recommendations for Personalized Search at Sandia National Laboratories (2019, Conference Presentation)
- Exploring the Capabilities and Possible Applications of Neural Turing Machines (2019, Semester Project)
- Cryptanalysis of Digital Watermarking (2019, Semester Project)
- Neural Network Ranking System for Personalized Enterprise Search (2017, OSTI)
- Geospatial-Temporal Semantic Graph Search Template Generation via Data Mining (2015, OSTI)
