Chris Haddad
Employers on the program
- 2024–2026Amazon Web Services4 talks
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | builders session | Build the Patient Record Your Healthcare AI Agents Actually Need as Amazon Web Services The average US patient has records scattered across 40+ systems. Medication lists conflict, allergies are duplicated, and clinical notes contradict structured…Show lessThe average US patient has records scattered across 40+ systems. Medication lists conflict, allergies are duplicated, and clinical notes contradict structured data. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | builders session | Amazon Quick Suite: Power RCM, Member Engagement, & Drug Safety Management as Amazon Web Services Join us as we explore how Amazon Quick Suite can help knowledge workers streamline critical tasks across healthcare and life sciences organizations. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | builders session | Smart Clinical Documentation: Kiro & AWS HealthScribe as Amazon Web Services Join us as we explore how Kiro transforms healthcare application development through AI-assisted coding. In this workshop, you'll learn how to enhance AWS…Show lessJoin us as we explore how Kiro transforms healthcare application development through AI-assisted coding. In this workshop, you'll learn how to enhance AWS HealthScribe's ambient clinical intelligence capabilities by building advanced features that streamline the documentation process for clinicians. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | workshop | Amazon Q Apps for healthcare as Amazon Web Services In this workshop, explore the user-friendly tools in Amazon Q for creating, testing, and deploying AI-generated healthcare applications. Learn about Amazon Q…Show lessIn this workshop, explore the user-friendly tools in Amazon Q for creating, testing, and deploying AI-generated healthcare applications. Learn about Amazon Q Apps, which can help turn ideas into apps through natural language or chat interactions. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | builders session | Building protein language models for life science generative AI [REPEAT]Proteins are the molecular machines of the body and the active form of many lifesaving therapeutics. Protein language models (pLMs) use generative AI methods…Show lessProteins are the molecular machines of the body and the active form of many lifesaving therapeutics. Protein language models (pLMs) use generative AI methods like self-supervised learning and transformers to modify existing proteins or design new ones. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Brian Loyal | 4 | 1 | 2026 |
| MIRZA BAIG | 4 | 1 | 2026 |
| Aaron Chen | 4 | — | 2026 |
| Aaron Sempf | 4 | — | 2026 |
| Abbas Mooraj | 4 | — | 2026 |
| Abhishek Pandey | 4 | — | 2026 |
| Abhishek Sharma | 4 | — | 2026 |
| Abhishek Srivastav | 4 | — | 2026 |
| Adam Hill | 4 | — | 2026 |
| Addy Upreti | 4 | — | 2026 |
| Aditi Garg | 4 | — | 2026 |
| Aditya Challa | 4 | — | 2026 |
| Aditya Samant | 4 | — | 2026 |
| Adnan Bilwani | 4 | — | 2026 |
| Ahuva Hazan-Fuchs | 4 | — | 2026 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.