> For the complete documentation index, see [llms.txt](https://lwm.mit.edu/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://lwm.mit.edu/home.md).

# Home

Learning with Machines starts here.

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**Our Mission:** To empower scientists at the Koch Institute and beyond with the computational tools and knowledge to enhance their research. We aim to build a collaborative and sustainable culture of computational literacy, fostering use of AI as the powerful tool it is to explore novel research directions in the fight against cancer.
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## Getting Started

Explore the key sections of our knowledge base to begin your journey.

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[Course Materials](/course-materials.md)
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[Guides & Resources](/guides-and-resources.md)
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[Examples & Inspiration](/examples-and-inspiration.md)
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## Course Programming

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-cover data-type="image">Cover image</th></tr></thead><tbody><tr><td><h4>AI Panorama</h4></td><td>A framework for understanding what AI can (and can't!) do for science research.</td><td><a href="https://2078575508-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FpK8DMWsoyo5vzRk1L6UL%2Fuploads%2FHyUA2jbAB0vkDQ3gmQqe%2Fpanorama_wordmarkArtboard%207%403x.png?alt=media&amp;token=4dfc5804-1ba4-42ef-8030-29ec271d3631">panorama_wordmarkArtboard 7@3x.png</a></td></tr><tr><td><h4>Computation Questions</h4></td><td>Hands-on, expert-led seminars exploring computational techniques in depth.</td><td><a href="https://2078575508-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FpK8DMWsoyo5vzRk1L6UL%2Fuploads%2FzOMRxwNO6X1wagX5EUGp%2Fcq_wordmarkArtboard%208%403x.png?alt=media&amp;token=9153e11d-0bc2-409e-8a21-c180c0d725ec">cq_wordmarkArtboard 8@3x.png</a></td></tr><tr><td><h4>Learning Laboratory</h4></td><td>Skill-building workshops to practice implementing computation from start to finish on real data.</td><td><a href="https://2078575508-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FpK8DMWsoyo5vzRk1L6UL%2Fuploads%2FSYbZnxE46yF6KPnMPJzX%2Fll_wordmark.png?alt=media&amp;token=2b90f371-be19-4967-8c54-c63a86d94f73">ll_wordmark.png</a></td></tr></tbody></table>

### Upcoming Events

Here's a look at our upcoming sessions. Don't forget to check out the full schedule below for more details and to add events to your calendar.

<table><thead><tr><th width="189.8515625">Date</th><th>Session</th><th>Topic</th></tr></thead><tbody><tr><td>Friday, Sept 25, 2026</td><td>AI Panorama</td><td>What can (and can't!) AI do for research?</td></tr><tr><td>Friday, Oct 2, 2026</td><td><a href="/course-materials/computation-questions/module-1-fastq-to-phenotype.md">Computation Questions: Module 1</a></td><td><em><strong>FastQ to Phenotype</strong>: Navigating Sequencing Data with AI Workflows</em></td></tr><tr><td>Monday, Oct 5, 2026</td><td><a href="/course-materials/learning-laboratory/workshop-1-informatics-inquiry.md">Learning Laboratory #1</a></td><td><em><strong>Informatics Inquiry</strong> – Quantitative Thinking in Research Design</em></td></tr><tr><td>Friday, Oct 9, 2026</td><td><a href="/course-materials/computation-questions/module-2-screen-to-signal.md">Computation Questions Module 2</a></td><td><em><strong>Screen to Signal</strong>: Unlocking Functional Targets with AI and Machine Learning</em></td></tr></tbody></table>

<p align="center"><a href="/course-materials/course-schedule.md" class="button primary" data-icon="calendars">View Full Schedule</a></p>

***

#### 💬 Join the Collaboration Park

The **Collaboration Park**, our Learning with Machines Slack workspace, is the heart of our community. It's the best place to ask questions, share your work, and connect with fellow researchers.

Click the button below to join the Collaboration Park and start communicating!

<a class="button primary" data-icon="slack">Join Slack Workspace</a>

***

### Computation in Cancer Science Gallery

A glimpse into the many beautiful and complex ways AI and computation is being put to use in cancer research.

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<div><figure><img src="https://2078575508-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FpK8DMWsoyo5vzRk1L6UL%2Fuploads%2FSweuCG6PQL8eBXipF6mN%2Fimage-01-onc-cellotypesegmentation.jpg?alt=media&amp;token=2e0f3c39-05bb-4165-a78d-f6c46231f427" alt=""><figcaption></figcaption></figure> <figure><img src="https://2078575508-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FpK8DMWsoyo5vzRk1L6UL%2Fuploads%2FXSibU7VRDtDvenCsjHwC%2Fsofttissuegranularcellobeidin11new.jpg?alt=media&amp;token=84d8e96a-71a6-4ba9-bdb2-6e2e3963aec8" alt=""><figcaption></figcaption></figure> <figure><img src="https://2078575508-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FpK8DMWsoyo5vzRk1L6UL%2Fuploads%2F2cx9KWAGWuhVNsTYScpJ%2Fligu-feature.jpg?alt=media&amp;token=47d331d3-46f9-48b5-9f36-ae23010d967b" alt=""><figcaption></figcaption></figure></div>
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