Alex Morgan
AI Research Specialist
- alex.morgan@example.com
- +1 555 0100
- Denver, CO
Summary
AI researcher with 8 years of experience in an applied machine learning research lab, developing transformer models and reinforcement learning methods. Skilled in experimental design, model evaluation and reproducible training workflows, with a PhD in Computer Science and peer-reviewed research publications.
Experience
Senior Research Scientist at Cedar Peak Intelligence, Boulder, CO (2021 – Present)
- Designed a reinforcement learning approach for multi-step language tasks and improved completion rates by 4 percentage points on an internal evaluation suite.
- Built a PyTorch evaluation pipeline for 12 model variants, cutting experiment review time from 5 days to 3.
- Mentored 2 research associates in experimental design and reproducible workflows; contributed experiments to 3 collaborative papers.
Research Scientist at Alpine Signal Labs, Denver, CO (2018 – 2021)
- Trained transformer models for document understanding with distributed PyTorch jobs, reducing validation error by 9% on a held-out dataset.
- Created ablation studies across 6 model configurations, identifying a simpler architecture that reduced training compute by 15%.
Education
PhD in Computer Science — Summit Plains University, Fort Collins, CO (2018)
Skills
- Deep learning
- Transformer models
- Reinforcement learning
- Natural language processing
- PyTorch
- JAX
- LLM evaluation
- Experimental design
- Distributed training
- Statistical analysis
Selected publications
• “Efficient Adaptation for Long-Form Document Tasks,” NeurIPS (2024)
• “Preference Optimization Under Limited Feedback,” ICML (2022)
Research tools
• PyTorch, JAX, Weights & Biases
• Slurm, Git, LaTeX