Scientific Computing and Data / AIR•MS (AI Ready Mount Sinai) / Training

 

AIR·MS and Data2Evidence Training

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NEW! Fall 2026 AIR‧MS Training Sessions

 

September/October 2026

Learn how to use Mount Sinai’s AI-ready health data platform

Join us for a three-part training series designed to help researchers, clinicians, data scientists, and other Mount Sinai users get started with AIR·MS and learn how to use it for health data research and AI applications.

All sessions are 10:00–11:00 AM EST and are available in person or via Zoom.

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Session 1 — Getting Started with AIR·MS: Health Data Fundamentals

Tuesday, September 15 | 10:00–11:00 AM EST
Hybrid: In person + Zoom

 

What you’ll learn

This introductory session will help you understand how clinical data moves into AIR·MS and how to begin working with it.

You’ll learn how to:

• Understand the flow of data from Epic into AIR·MS
• Recognize common challenges and pitfalls when working with clinical data
• Perform basic exploratory data analysis (EDA) in AIR·MS
• Work through a live Jupyter Notebook demonstration

 

Who should attend?
Researchers, clinicians, data scientists, students, and anyone new to AIR·MS.

 

Register

• Zoom: Register for Session 1
• In person: Annenberg Classroom 10-70
  Register for in-person attendance

 

Training materials

• Session 1 training materials
  2026 updated materials coming soon.
• Session 1 Jupyter Notebook

 

Before the session

Some hands-on portions of the training require access to Minerva and the AIR·MS OMOP De-ID dataset.

If you don’t already have access:

1. Make sure you have an ISMMS School Network Account.
   If you need one, request it through SailPoint by selecting “School Network Account.”
2. Request a Minerva account using the Minerva account request form.
   If you are not a PI, your PI will need to provide approval by email.
3. Request access to the AIR·MS OMOP De-ID dataset through SailPoint. Select “AIR.MS Production MSDW OMOP De-ID (MSSM).”
   See the AIR·MS data access guide for detailed instructions.
4. For additional information, visit AIR·MS: Getting Started.

Important: To access SailPoint, you must be connected to the Mount Sinai network, either on campus or through VPN.

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Session 2 — From AI Agents to AIR·MS: Leveraging Large Language Models

Tuesday, September 22 | 10:00–11:00 AM EST
Hybrid: In person + Zoom

 

What you’ll learn

Discover how locally hosted, open-source large language models (LLMs) can help with health data exploration in AIR·MS.

Topics include:

• ChatAI demonstration
• Using Ollama and AIR·MS with Python
• Introduction to SQL
• Using LLMs to help write and refine SQL queries

 

Who should attend?
Researchers, clinicians, data scientists, and introductory users interested in using AI tools with health data.

 

Register

• Zoom: Register for Session 2
• In person: Annenberg Classroom 10-70
  Register for in-person attendance

 

Training materials

• Session 2 training materials
  2026 updated materials coming soon.
• Session 2 Jupyter Notebook

 

Before the session

Participants should have Minerva and AIR·MS access before attending so that there is enough time for account and dataset permissions to be processed.

Minerva requires the Secure Shell (ssh) protocol and Microsoft Azure Multi-Factor Authentication (MFA). You can authenticate using one of the following methods:

• App Push: A notification sent to the Microsoft Authenticator app on your mobile device.

• Phone Text/Call: A one-time passcode sent via SMS or an automated phone call.

• App Passcode: A rolling six-digit code generated within the Authenticator app.

• Note: If you have not yet configured your MFA preferences, please visit the Microsoft MFA Setup Portal.

 

Connection Steps

1. VPN: If you are off-campus, you must first connect to the Mount Sinai VPN.

2. SSH Command: Open your terminal or an SSH client like PuTTY.

3. Authentication: * Username: Use your standard Sinai credentials.

   • Password: Enter your Sinai password.

   • MFA Challenge: Complete the second-step verification using your chosen Azure MFA method.

SSH command: ssh your_userid@minerva.hpc.mssm.edu

For detailed instructions and troubleshooting, please refer to the official Logging In documentation.

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Session 3 — Advanced AIR·MS: Data Modalities & AI/ML Applications

Thursday, September 24 | 10:00–11:00 AM EST
Hybrid: In person + Zoom

 

What you’ll learn

Take a deeper look at AIR·MS and its capabilities for multimodal health data research and AI/ML applications.

The session will feature lightning talks and demonstrations covering:

• OMOP clinical data
• Pathology
• Radiology
• Echocardiography
• Mount Sinai Million
• Advanced applications of AIR·MS for research

 

Who should attend?
Advanced researchers, data scientists, clinicians, and technical users with experience working with AIR·MS or health data.

 

Register

• Zoom: Register for Session 3
• In person: Annenberg Classroom 10-70
  Register for in-person attendance

 

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Archive AIR‧MS and Data2Evidence Training Sessions

Recordings and slides from prior training sessions are available below.

Jupyter Notebooks and R Resources to Get You Started:

• Training Session Notebooks (Python): https://github.com/scdmsanalytics-bit/airms-training
• Find out how to use multi-modal data here (Python/R): https://github.mountsinai.org/AIRMS/airms-researcher-tutorials-minerva 

 

Spring 2026 Data2Evidence Training Sessions

May 2026

Session 2 (SLIDES) (VIDEO RECORDING)

 

Spring 2026 AIR‧MS Training Sessions

• Tuesday April 7: Getting Started with AIR·MS: Health Data Fundamentals SLIDES (April_2026_AIRMS_Training_Part1_A; April_2026_AIRMS_Training_Part1_B; April_2026_AIRMS_Training_Part1_C); VIDEO RECORDING
• Tuesday April 14: From AI Agents to AIR·MS: Leveraging Large Language Models SLIDES AND VIDEO RECORDING
• Tuesday April 21: Advanced AIR·MS: Deep Dive into Data Modalities and AI/Machine Learning (ML) Applications SLIDES AND VIDEO RECORDING

 

Fall 2025 Inaugural AIR‧MS Town Hall

The Fall 2025 Inaugural AIR‧MS Town Hall is now available (powerpoint slides) (video recording).

 

Fall 2025 AIR‧MS Training Sessions

• Tuesday September 30: Getting Started with AIR·MS: Health Data Fundamentals (slides – PART 1; PART 2) (video recording)
• Tuesday October 7: From ChatAI to AIR·MS: Leveraging Large Language Models (slides) (video recording)
• Tuesday October 21: Advanced AIR·MS: Multimodal Data (slides) (video recording)

 

Spring 2025 Inaugural AIR‧MS Training Session

The Inaugural AIR‧MS Training video is now available here.