Brian Loyal
Employers on the program
- 2024–2026Amazon Web Services3 talks
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | breakout | How Bristol Myers Squibb Scales AI from Experiments to Enterprise with AWS as Amazon Web Services Bristol Myers Squibb is scaling AI from targeted experiments to enterprise transformation through its AI Accelerator program. In this session, hear how BMS…Show lessBristol Myers Squibb is scaling AI from targeted experiments to enterprise transformation through its AI Accelerator program. In this session, hear how BMS pairs business-led innovation with AWS to move AI use cases from idea into production. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | workshop | From Bytes to Bench: Best practices for life science research agents [REPEAT] as Amazon Web Services Learn how to build and deploy AI agents for life science research. AI research agents speed up scientific discovery by planning research tasks, interacting with…Show lessLearn how to build and deploy AI agents for life science research. AI research agents speed up scientific discovery by planning research tasks, interacting with domain-specific tools and data, and generating detailed research reports. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | workshop | Building scalable drug discovery applications as Amazon Web Services Learn how to accelerate scientific discovery by building, orchestrating, and visualizing computer-aided drug discovery workflows using AWS HealthOmics,…Show lessLearn how to accelerate scientific discovery by building, orchestrating, and visualizing computer-aided drug discovery workflows using AWS HealthOmics, state-of-the-art biological foundation models, and Jupyter. | |
| 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 |
|---|---|---|---|
| Chris Haddad | 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 |
| Alak Eswaradass | 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.