Published February 10, 2026
| Version v1
Event
Open
AMLD 2026 Workshop ๐งช Transforming Drug Discovery: Advancing Phenotypic Profiling with Foundation Models
Authors/Creators
Description
๐ฃ ๐๐ผ๐ถ๐ป ๐ผ๐๐ฟ ๐๐ผ๐ฟ๐ธ๐๐ต๐ผ๐ฝ at #AMLD2026 on February 12 at the SwissTech Convention Center in Lausanne.
๐งฌ ๐ง๐ฟ๐ฎ๐ป๐๐ณ๐ผ๐ฟ๐บ๐ถ๐ป๐ด ๐๐ฟ๐๐ด ๐๐ถ๐๐ฐ๐ผ๐๐ฒ๐ฟ๐: ๐๐ฑ๐๐ฎ๐ป๐ฐ๐ถ๐ป๐ด ๐ฃ๐ต๐ฒ๐ป๐ผ๐๐๐ฝ๐ถ๐ฐ ๐ฃ๐ฟ๐ผ๐ณ๐ถ๐น๐ถ๐ป๐ด ๐๐ถ๐๐ต ๐๐ผ๐๐ป๐ฑ๐ฎ๐๐ถ๐ผ๐ป ๐ ๐ผ๐ฑ๐ฒ๐น๐
๐ฅ Tomé Albuquerque, Krishna Chaitanya, Amina Mollaysa, Pushpak Pati
๐งช Johnson & Johnson Innovative Medicine
๐ What you’ll learn:
• ๐๐ผ๐๐ป๐ฑ๐ฎ๐๐ถ๐ผ๐ป๐ฎ๐น ๐บ๐ผ๐ฑ๐ฒ๐น๐ in the ๐ฃ๐ต๐ฒ๐ป๐ผ๐๐๐ฝ๐ถ๐ฐ ๐ฑ๐ฟ๐๐ด ๐ฑ๐ถ๐๐ฐ๐ผ๐๐ฒ๐ฟ๐ ๐ฝ๐ถ๐ฝ๐ฒ๐น๐ถ๐ป๐ฒ
• Hands-on bottom-up development of ๐ ๐๐ and ๐๐๐ก๐ข for representation learning on ๐๐ถ๐ด๐ตโ๐๐ผ๐ป๐๐ฒ๐ป๐ ๐๐บ๐ฎ๐ด๐ฒ๐.
• Flavors of real-world application: ๐ ๐ข๐ ๐ฝ๐ฟ๐ฒ๐ฑ๐ถ๐ฐ๐๐ถ๐ผ๐ป & ๐๐ผ๐บ๐ฝ๐ผ๐๐ป๐ฑ ๐ฟ๐ฒ๐๐ฟ๐ถ๐ฒ๐๐ฎ๐น
๐๏ธ Thursday, February 12, 2026
โฐ 14:00–17:30 CET
๐ Garden 3BC - SwissTech Convention Center, EPFL, Lausanne
๐ Workshop details & registration → https://lnkd.in/eE9qDmhe
#AMLD2026 #AIForScience #DrugDiscovery #PhenotypicProfiling #FoundationModels #HighContentImaging #MultimodalLearning
๐งฌ ๐ง๐ฟ๐ฎ๐ป๐๐ณ๐ผ๐ฟ๐บ๐ถ๐ป๐ด ๐๐ฟ๐๐ด ๐๐ถ๐๐ฐ๐ผ๐๐ฒ๐ฟ๐: ๐๐ฑ๐๐ฎ๐ป๐ฐ๐ถ๐ป๐ด ๐ฃ๐ต๐ฒ๐ป๐ผ๐๐๐ฝ๐ถ๐ฐ ๐ฃ๐ฟ๐ผ๐ณ๐ถ๐น๐ถ๐ป๐ด ๐๐ถ๐๐ต ๐๐ผ๐๐ป๐ฑ๐ฎ๐๐ถ๐ผ๐ป ๐ ๐ผ๐ฑ๐ฒ๐น๐
๐ฅ Tomé Albuquerque, Krishna Chaitanya, Amina Mollaysa, Pushpak Pati
๐งช Johnson & Johnson Innovative Medicine
๐ What you’ll learn:
• ๐๐ผ๐๐ป๐ฑ๐ฎ๐๐ถ๐ผ๐ป๐ฎ๐น ๐บ๐ผ๐ฑ๐ฒ๐น๐ in the ๐ฃ๐ต๐ฒ๐ป๐ผ๐๐๐ฝ๐ถ๐ฐ ๐ฑ๐ฟ๐๐ด ๐ฑ๐ถ๐๐ฐ๐ผ๐๐ฒ๐ฟ๐ ๐ฝ๐ถ๐ฝ๐ฒ๐น๐ถ๐ป๐ฒ
• Hands-on bottom-up development of ๐ ๐๐ and ๐๐๐ก๐ข for representation learning on ๐๐ถ๐ด๐ตโ๐๐ผ๐ป๐๐ฒ๐ป๐ ๐๐บ๐ฎ๐ด๐ฒ๐.
• Flavors of real-world application: ๐ ๐ข๐ ๐ฝ๐ฟ๐ฒ๐ฑ๐ถ๐ฐ๐๐ถ๐ผ๐ป & ๐๐ผ๐บ๐ฝ๐ผ๐๐ป๐ฑ ๐ฟ๐ฒ๐๐ฟ๐ถ๐ฒ๐๐ฎ๐น
๐๏ธ Thursday, February 12, 2026
โฐ 14:00–17:30 CET
๐ Garden 3BC - SwissTech Convention Center, EPFL, Lausanne
๐ Workshop details & registration → https://lnkd.in/eE9qDmhe
#AMLD2026 #AIForScience #DrugDiscovery #PhenotypicProfiling #FoundationModels #HighContentImaging #MultimodalLearning
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