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Dan Sheeran (he/him)
GM, Healthcare and Life Science, AWS
Dan Sheeran is the General Manager of Healthcare and Life Sciences at Amazon Web Services (AWS).1 He leads AWS' Healthcare and Life Sciences Industry Business Unit (HCLS IBU), which supports all AWS customers in the Life Sciences sector.23
Background and Education
Dan Sheeran has a strong educational background:
- BS in Foreign Service from Georgetown University (1984-1988)
- MBA in Finance and Marketing from Northwestern University's Kellogg School of Management (1992-1994)
- He also spent a year abroad studying Politics, Philosophy & Economics (PPE) at the University of Oxford (1986-1987)1
Professional Experience
While his full career history is not provided, we know that Dan Sheeran currently holds a senior position at AWS:
- General Manager, Healthcare and Life Sciences at Amazon Web Services (AWS)
- Based in Medina, Washington, United States1
Role and Responsibilities
In his role as GM of Healthcare and Life Sciences at AWS, Dan Sheeran:
- Leads the Healthcare and Life Sciences Industry Business Unit
- Supports AWS customers in the Life Sciences sector
- Drives initiatives related to generative AI, machine learning, and data analytics in drug discovery and clinical development2
- Speaks at industry events, such as the AWS Life Sciences Leaders Symposium23
- Contributes to thought leadership in the field through blog posts and presentations34
Dan Sheeran is actively involved in promoting the use of AWS technologies, particularly generative AI and machine learning, in the healthcare and life sciences industries. He emphasizes the potential of these technologies to revolutionize drug discovery, clinical development, and patient care.23
Highlights
Excited to share this article published in CIO.com on how Bayer | Crop Science is leveraging #generative AI on AWS to revolutionize agriculture. Congratulations Will McQueen and the entire Bayer Crop Science team! https://lnkd.in/gWnF65tG #AgTech #GenerativeAI #AWS #InnovationInAgriculture
Biotech startup @A-alpha Bio slashed experimental cycles and accelerated protein-protein interaction predictions at an unprecedented scale, processing 108 million inference calls in just 2 months with NVIDIA BioNemo on AWS. ⚡🔬
This isn't just progress. It's a leap into the future of therapeutics. Dive into the details here 👉 https://lnkd.in/gdM-3NtB
#lifesciences #generativeAI #AWSisHow
