Scholar
Fernando Martinez
Google Scholar ID: XfyusDUAAAAJ
Fordham University
Citations & Impact
Citations
29
H-index
3
i10-index
0
Publications
14
Co-authors
10
list available
Publications
Resume
Academic Achievements
- No specific academic achievements such as publications or awards mentioned.
Research Experience
- Worked for 7 years in applied machine learning and data science roles, where he has applied quantitative analysis, experiment design, and developed ML models for diverse business solutions. Throughout this experience, he has had the opportunity to design and create models that are helping organizations manage risk behavior profiles, reduce tax gaps, and build advanced analytical engines for forecasting and detecting deviations from unstructured information.
Education
- Pursuing a PhD at Fordham University, specific advisor information not provided.
Background
- A second-year PhD student in Computer Science, specializing in deep reinforcement learning and machine learning. Lately, his research centers on decision-making under uncertainty, connecting reinforcement learning with game-theoretic modeling and optimization to build scalable, reliable agents.
Miscellany
- Jazz enthusiast
