Philosophy

At our lab, we practice rigorous, data-driven science. We focus on clear questions and reproducible results.

• Evidence first. We base decisions on data, validated methods, and peer review. We comply with laws and ethics, and we let evidence guide conclusions.

• Inclusive by design. We welcome people of all identities and backgrounds. We judge ideas by their merit and treat everyone with respect.

• Collaboration with purpose. We work together when it creates real synergy. We share credit, help each other, and build on complementary strengths.

• Curiosity leads the way. We choose projects that ask exciting questions. Daily work can be hard, but the big question should energize you.

• Smart productivity. We plan well, think deeply, and focus on high-value tasks. We measure progress by insight and results, not hours.

• Open and direct communication. We speak clearly, listen actively, and give timely feedback. We discuss results and concerns with respect and honesty.

• Reproducibility and openness. We document methods, keep clean code and data, and share materials when possible. We aim for work others can repeat.

• Learning and mentorship. We teach skills, review each other’s work, and celebrate growth. We expect questions, curiosity, and steady improvement.

• Safety and integrity. We follow safety rules, institutional policies, and community standards. We avoid shortcuts that risk people or data quality.

What You Can Expect

You can expect clear goals, regular feedback, and support to do your best work. You will own a question that excites you and contributes to the field.

What We Ask of You

We ask you to be curious, careful, and collaborative. We ask you to plan, think deeply, and communicate openly about your progress and needs.

Our aim is simple: do excellent science that stands up to scrutiny, share it with the community, and grow as scientists and colleagues.