AI × Science Club
A student-led organization at Scripps Research dedicated to exploring how artificial intelligence is reshaping scientific discovery — and how science, in turn, is reshaping AI.
Scripps Research · La Jolla, California
Our Mission
We believe the most important breakthroughs of the next decade will happen at the intersection of AI and the natural sciences. Not by replacing scientists with algorithms, but by giving scientists new ways to think, discover, and create.
AI × Science Club brings together researchers from across Scripps — structural biology, chemistry, immunology, genetics, and beyond — to build fluency in modern AI methods and apply them to real scientific problems.
Understand
Build deep intuition for how modern AI works — transformers, diffusion models, reinforcement learning — without requiring a CS degree.
Apply
Bring AI methods into your own research. From molecular generation to protein design to automated analysis pipelines.
Collaborate
Connect AI-native researchers with domain scientists. The best work happens when both sides speak each other's language.
Lead
Scripps should be at the forefront of AI for Science. We're building the community to make that happen.
Programs
Reading Group
Read and discuss one frontier paper per week at the intersection of AI and science. Everyone presents, everyone learns. Papers selected by community vote.
Hands-On Workshops
Practical sessions at the intersection of AI and science. Coming soon — currently under development.
Invited Speakers
Researchers from academia and industry share their work at the AI × Science frontier. Planned speakers from UCSD, Stanford, NVIDIA, and beyond.
Weekly Reading Group
Our flagship program. Every week, we gather to dissect one paper that sits at the boundary of AI and scientific discovery. The goal is not just to understand the paper, but to ask: What does this mean for how we do science?
Upcoming Papers
Spring 2026 — Schedule TBA
AlphaFold 3 — Accurate structure prediction of biomolecular interactions
Abramson et al., Nature 2024. The model that changed structural biology.
AbFlow — Joint Antibody Sequence-Structure Co-Design
Flow matching for antibody design. How generative models are entering immunology.
CRISPR-GPT — An LLM Agent for Automated CRISPR Experiment Design
Le Cong Lab, Stanford. When AI agents meet gene editing.
Scaling Diffusion Models for Molecular Generation
From DiffSBDD to TargetDiff — the landscape of 3D molecule diffusion.
Have a paper to suggest? Submit it when you join the mailing list.
Recommended Readings
Essential reads for understanding where AI and science are headed — and why it matters now.
Machines of Loving Grace
Dario Amodei, CEO of Anthropic. A sweeping vision of how AI could transform biology, medicine, poverty, and governance — compressing a century of progress into a decade. Essential reading for anyone at the intersection of AI and science.
The Adolescence of Technology
Dario Amodei. On how AI adoption will diffuse through the economy — not instantly, not slowly, but faster than anything before.
We'll continue adding readings as the community grows. Suggestions welcome.
Board
Contact: jjian@scripps.edu
Join Us
Whether you're an AI researcher curious about biology, a chemist curious about machine learning, or simply someone who believes the future is interdisciplinary — you belong here.
Join our Slack View Reading Group