Collaborate with us

At Researchgram, we actively partner with researchers, tech startups, PhD students, and data scientists across diverse backgrounds. Whether you want to explore applied Bayesian methods, uncertainty quantification, ranking algorithms, clustering, or neural networks and beyond, we welcome your voice. Co-authoring or contributing gives you platform exposure, valuable research experience, and a collaborative space at the intersection of statistics, machine learning, business, and finance.

Researchers

Co-author articles and share findings with a wider audience.

Tech startups

Turn applied research questions into clear, usable write-ups.

PhD students

Publish early work and gain editorial and research experience.

Data scientists

Share dataset insights and methods with peers across fields.

Submit a proposal or article

Submission guidelines

You can pitch a brief concept, share an outline, or submit a completed draft directly through our contact form. We review proposals in machine learning, statistics, finance, and applied data science on a rolling basis.