AI ML Bootcamp 2026 - Revision history

Mazumder: /* Program Information */

2026-05-08T15:28:39Z

Program Information

← Older revision		Revision as of 15:28, 8 May 2026
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	'''[https://docs.google.com/forms/d/e/1FAIpQLSco75OcMkiUXYjC7-0b-l9JbVWlGJIyQR_tgQau7WmDHrtGhw/viewform Registration Link]'''		'''[https://docs.google.com/forms/d/e/1FAIpQLSco75OcMkiUXYjC7-0b-l9JbVWlGJIyQR_tgQau7WmDHrtGhw/viewform Registration Link]'''

	~~Open to anyone~~ with a valid GW ID.		Anyone with a valid GW ID can register. You need to be logged into your browser with your GW credentials to access the form.

	== Agenda ==		== Agenda ==

Mazumder: /* Program Information */

2026-05-08T15:25:32Z

Program Information

← Older revision		Revision as of 15:25, 8 May 2026
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	Location: Gelman Library, Rooms 323–324		Location: Gelman Library, Rooms 323–324

	'''[https://docs.google.com/forms/d/e/1FAIpQLSco75OcMkiUXYjC7-0b-l9JbVWlGJIyQR_tgQau7WmDHrtGhw/viewform Registration Link]'''		'''[https://docs.google.com/forms/d/e/1FAIpQLSco75OcMkiUXYjC7-0b-l9JbVWlGJIyQR_tgQau7WmDHrtGhw/viewform Registration Link]'''

			Open to anyone with a valid GW ID.

	== Agenda ==		== Agenda ==

Mazumder: /* Program Information */

2026-05-08T15:18:46Z

Program Information

← Older revision		Revision as of 15:18, 8 May 2026
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	Location: Gelman Library, Rooms 323–324		Location: Gelman Library, Rooms 323–324

	Registration:		'''[https://docs.google.com/forms/d/e/1FAIpQLSco75OcMkiUXYjC7-0b-l9JbVWlGJIyQR_tgQau7WmDHrtGhw/viewform Registration Link]'''

	== Agenda ==		== Agenda ==

Mazumder at 15:13, 8 May 2026

2026-05-08T15:13:10Z

← Older revision		Revision as of 15:13, 8 May 2026
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	\|-		\|-
	\|10:30 am		\|10:30 am
	\|AI/ML lecture and hands-on		\|AI/ML in biomedical sciences lecture and hands-on
	\|Patrick McNeeley		\|Patrick McNeeley
	\|-		\|-

Mazumder: /* Agenda */

2026-05-08T15:12:09Z

Agenda

← Older revision		Revision as of 15:12, 8 May 2026
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	\|9:00 am		\|9:00 am
	\|Introduction and Welcome		\|Introduction and Welcome
	\|Raja Mazumder ~~(20 mins)~~		\|Raja Mazumder
	\|-		\|-
			\|9:15 am
			\|Introduction to GW IT AI/ML computing resources
			\|Rubeel Iqbal, Glen MacLachlan
			\|-
			\|10:15
			\|Coffee break
	\|		\|
			\|-
			\|10:30 am
			\|AI/ML lecture and hands-on
			\|Patrick McNeeley
			\|-
			\|12:30 pm
			\|Lunch
	\|		\|
			\|-
			\|1:30 pm
			\|AI/ML lecture and hands-on
			\|Ryan Watkins
			\|-
			\|3:30 pm
			\|Coffee break
	\|		\|
	\|-		\|-
	\|		\|3:45 pm
	\|		\|Wrap up and/or hackathon
	\|		\|Pat McNeeley and Ryan Watkins
	\|}		\|}

Hivelabwikiadmin at 14:54, 8 May 2026

2026-05-08T14:54:42Z

← Older revision		Revision as of 14:54, 8 May 2026
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	== Agenda ==		== Agenda ==
			All times are in Eastern Standard Time.
			{\| class="wikitable"
			\|+
			!Time (ET)
			!Title
			!Presenter
			\|-
			\|9:00 am
			\|Introduction and Welcome
			\|Raja Mazumder (20 mins)
			\|-
			\|
			\|
			\|
			\|-
			\|
			\|
			\|
			\|}

Hivelabwikiadmin at 14:41, 8 May 2026

2026-05-08T14:41:04Z

← Older revision		Revision as of 14:41, 8 May 2026
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	The program is designed to move beyond basic usage. Attendees will learn how to run and evaluate their own models, understand the underlying principles of AI systems, and begin integrating these approaches into real biomedical research projects. By the end of the session, participants will have a clear pathway for transitioning from basic users of AI tools to advanced practitioners, and potentially developers, capable of building and adapting AI-driven solutions within the biomedical research ecosystem.		The program is designed to move beyond basic usage. Attendees will learn how to run and evaluate their own models, understand the underlying principles of AI systems, and begin integrating these approaches into real biomedical research projects. By the end of the session, participants will have a clear pathway for transitioning from basic users of AI tools to advanced practitioners, and potentially developers, capable of building and adapting AI-driven solutions within the biomedical research ecosystem.

	=== Program Information ===		== Program Information ==
	Date: Friday, August 21		Date: Friday, August 21

Hivelabwikiadmin at 14:40, 8 May 2026

2026-05-08T14:40:37Z

← Older revision		Revision as of 14:40, 8 May 2026
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	The program is designed to move beyond basic usage. Attendees will learn how to run and evaluate their own models, understand the underlying principles of AI systems, and begin integrating these approaches into real biomedical research projects. By the end of the session, participants will have a clear pathway for transitioning from basic users of AI tools to advanced practitioners, and potentially developers, capable of building and adapting AI-driven solutions within the biomedical research ecosystem.		The program is designed to move beyond basic usage. Attendees will learn how to run and evaluate their own models, understand the underlying principles of AI systems, and begin integrating these approaches into real biomedical research projects. By the end of the session, participants will have a clear pathway for transitioning from basic users of AI tools to advanced practitioners, and potentially developers, capable of building and adapting AI-driven solutions within the biomedical research ecosystem.

	== Program Information ==		=== Program Information ===
	Date: Friday, August 21		Date: Friday, August 21

Hivelabwikiadmin at 14:39, 8 May 2026

2026-05-08T14:39:36Z

← Older revision		Revision as of 14:39, 8 May 2026
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	The program is designed to move beyond basic usage. Attendees will learn how to run and evaluate their own models, understand the underlying principles of AI systems, and begin integrating these approaches into real biomedical research projects. By the end of the session, participants will have a clear pathway for transitioning from basic users of AI tools to advanced practitioners, and potentially developers, capable of building and adapting AI-driven solutions within the biomedical research ecosystem.		The program is designed to move beyond basic usage. Attendees will learn how to run and evaluate their own models, understand the underlying principles of AI systems, and begin integrating these approaches into real biomedical research projects. By the end of the session, participants will have a clear pathway for transitioning from basic users of AI tools to advanced practitioners, and potentially developers, capable of building and adapting AI-driven solutions within the biomedical research ecosystem.

			== Program Information ==
			Date: Friday, August 21

			Time: 9:00 AM – 5:00 PM

			Location: Gelman Library, Rooms 323–324

			Registration:

			== Agenda ==

Hivelabwikiadmin: Created page with "This full-day bootcamp provides an intensive introduction to artificial intelligence applications in biomedical research. Participants will gain practical experience with modern AI methods and learn how these tools can be applied across research and development workflows. The program is designed to move beyond basic usage. Attendees will learn how to run and evaluate their own models, understand the underlying principles of AI systems, and begin integrating these approa..."

2026-05-08T14:37:58Z

Created page with "This full-day bootcamp provides an intensive introduction to artificial intelligence applications in biomedical research. Participants will gain practical experience with modern AI methods and learn how these tools can be applied across research and development workflows. The program is designed to move beyond basic usage. Attendees will learn how to run and evaluate their own models, understand the underlying principles of AI systems, and begin integrating these approa..."

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This full-day bootcamp provides an intensive introduction to artificial intelligence applications in biomedical research. Participants will gain practical experience with modern AI methods and learn how these tools can be applied across research and development workflows.

The program is designed to move beyond basic usage. Attendees will learn how to run and evaluate their own models, understand the underlying principles of AI systems, and begin integrating these approaches into real biomedical research projects. By the end of the session, participants will have a clear pathway for transitioning from basic users of AI tools to advanced practitioners, and potentially developers, capable of building and adapting AI-driven solutions within the biomedical research ecosystem.