# Contact us

If you have any further questions, thoughts, or comments on our work, we would love to hear from you. There are a few different ways you can get in touch with us.

1. [Schedule a call.](#schedule-a-call)
2. [Email us.](#email-us)
3. [Submit a pull request on GitHub.](#submit-a-pull-request-on-github)
4. [Message us on twitter.](#message-us-on-twitter)

### Schedule a call

If you have questions or want to debug something with us, you can schedule a video call with us. Just use the form below or get on the following link <https://calendly.com/mahis/dobb-e> and we will try to connect you with one of our team members.

{% embed url="<https://calendly.com/mahis/dobb-e>" %}

### Email us

You can also email us with your thoughts and questions. Just write to `mahi at cs dot nyu dot edu` with "Dobb-E" somewhere on the title and we will try to get back to you as soon as we can.

### Submit a pull request on GitHub

If you have a concrete improvement to our code or hardware that you want to share with us, you can also submit a pull request here: <https://github.com/notmahi/dobb-e/pulls>.

### Message us on Twitter

You can feel free to message us on [Twitter](https://twitter.com/notmahi), but we believe one of the earlier three options would probably be your best bet for a faster response time.

## Our team

* [Mahi Shafiullah](https://mahis.life)\*
* [Anant Rai](https://raianant.github.io/)\*
* [Haritheja Etukuru](https://haritheja.com/)
* [Yiqian Liu](https://www.linkedin.com/in/eva-liu-ba90a5209/)

\[\* authors contributed equally]

#### On advisory roles

* [Ishan Misra](https://imisra.github.io/)
* [Soumith Chintala](https://soumith.ch/)
* [Lerrel Pinto](https://www.lerrelpinto.com/)


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.dobb-e.com/contact-us.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
