PhD Co Author plus reviewer for Deep Learning Paper

My current manuscript applies neural-network models to protein research, and I want to elevate it to a publishable, high-impact journal submission. The technical groundwork is in place—data collected, models built in PyTorch—but I need a seasoned, PhD-level mind to refine the methodology, strengthen the theoretical framing, and share full co-authorship on all resulting publications.

You would collaborate with me on each stage of the writing cycle: sharpening the literature review, validating the experimental design, running supplementary analyses, and polishing the final text to meet journal standards in computational biology and AI. Because I’m planning a series of follow-up studies, I’m looking for a long-term scholarly partnership; your willingness to act as a professional reference for future academic or industry applications is an essential part of this relationship.

Key deliverables
• Revised and annotated model code with reproducible results
• Co-written manuscript ready for peer review (LaTeX or Word format)
• Response letters for reviewer comments, if needed
• Formal reference letter once our collaboration is established

Familiarity with protein sequence datasets, Python, TensorFlow, PyTorch, and standard statistical packages will let us move quickly. I’m flexible on meeting schedules and authorship order as long as responsibilities are shared equitably and deadlines are met. If contributing cutting-edge neural network research and building an ongoing publication portfolio together appeals to you, let’s begin.