BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//OCAMM - ECPv6.2.9//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://ocamm.fi
X-WR-CALDESC:Events for OCAMM
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20250101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20250226T131500
DTEND;TZID=UTC:20250226T140000
DTSTAMP:20260420T080438
CREATED:20250220T072132Z
LAST-MODIFIED:20250220T072132Z
UID:288-1740575700-1740578400@ocamm.fi
SUMMARY:AI in CHEM Seminar Series: Drug Discovery with Heikki Käsnänen (Orion Pharma)
DESCRIPTION:This talk is part of the “AI and Machine Learning in Chemical Research and Industry” Seminar Series organized by the Aalto University School of Chemical Engineering. It is open to all members of the public. Registered students in course CHEM-E4190 can also obtain 1cr by attending the seminars and completing the assignments. \nDate and location\n\nWednesday 26 February 2025 @ 13:15-14:00\nA304 Ke2 lecture hall in the main building of the School of Chemical Engineering\, Kemistintie 1\, 02150 Espoo.\n\nAgenda\n\n13:00-13:15. Setup and brief info for the registered students.\n13:15-14:00. Seminar by Heikki Käsnänen\, lecture hall A304.\n14:00-onwards. Coffee\, netwoking and mingling in the lobby adjacent to the lecture hall.\n\nSeminar info\nTransforming Drug Discovery: From Computational Tools to Model-Driven Innovation \nHeikki Käsnänen\, Orion Pharma \nThe pharmaceutical industry is undergoing a paradigm shift in how computational methods and models are integrated into the drug discovery process. Historically\, these tools played a supportive yet impactful role\, assisting chemists and biologists in decision-making and innovation. Today\, advancements in predictive and generative AI/ML\, the scaling of physics-based methods\, and the emergence of active learning are propelling us toward a future of truly model-driven drug discovery. This talk will explore how virtual DMTA (Design\, Make\, Test\, Analyze) cycles\, accelerated by AI/ML\, are transforming R&D workflows\, enabling faster and more efficient exploration of chemical space. It will also discuss the challenges and opportunities in scaling physics-based methods for broader applicability and how active learning can enhance the adoption of slower but more accurate computational approaches. While the vision of fully model-driven drug discovery is not yet realized\, this transition marks an exciting new era for innovation and impact in the pharmaceutical industry. \nAbout the speaker\nDr. Heikki Käsnänen describes himself as a digital drug hunter\, working at the intersection of computation\, chemistry\, and biology. He currently leads a research group at Orion Pharma\, focusing on hit discovery and the application of computational chemistry and AI/ML methods in small molecule drug discovery. Heikki holds a Master’s degree in Pharmacy from the University of Kuopio and completed his PhD in Computational Medicinal Chemistry under the guidance of Professor Antti Poso. In 2011\, while finalizing his doctoral studies\, he was invited to join Orion\, where he has since gained over a decade of experience in small molecule drug discovery\, with a particular focus on oncology and pain targets. Since 2020\, Heikki has led the Molecular Prospecting and Modeling unit\, driving innovation and advancing model-driven discovery alongside a talented team of colleagues.
URL:https://ocamm.fi/event/ai-in-chem-seminar-series-drug-discovery-with-heikki-kasnanen-orion-pharma/
LOCATION:Aalto University\, School of Chemical Engineering\, Kemistintie 1\, Kemistintie 1\, Espoo\, 02150\, Finland
CATEGORIES:Seminar
ORGANIZER;CN="Miguel Caro":MAILTO:miguel.caro@aalto.fi
END:VEVENT
END:VCALENDAR