Track / Overview

Given the enormous increase in healthcare data volumes, our ability to effectively share, integrate and analyze is critical to advancing our understanding of the disease and bringing affordable and efficacious treatments to patients. Due to the breadth and depth of the healthcare data across various modalities such as clinical, genomics, imaging and digital sensors, we need to move beyond traditional methods and bring advanced ML/AI implementations to maximally benefit from the richness of the collected data. As part of the drug development life-cycle vast amounts of clinical trials data are collected in order to identify targets of interest, discover biomarkers to stratify patients who could benefit from the drug, and to study the safety and benefit profile of the drug. Furthermore, after the drug is brought to the market its use in a broader population is collected in a wide range of real-world data sources including, but not limited to, electronic medical records, disease registries, health insurance claims​, ​and digital devices. To date the Pharma industry has not leveraged the wealth of this information to deliver truly personalized care for patients.

Development of advanced ​statistical and machine learning​ methodologies combined with the availability of scalable computing environments is fueling a new wave of digitization in Pharma R&D pipelines thereby creating possibilities to discover and develop personalized medicines. This track will invite experts from industry and academia to share their experiences in using AI/ML for Pharma R&D to showcase successful implementations and also lay the roadmap of future methodological and application innovations accelerating use of ML/AI within Pharma research.

Track / Speakers

Marcel Salathé

Professor, EPFL

Ria Kechagia

Scientific Collaborator, C4DT / EPFL

Kurt Stockinger

Professor, ZHAW – Zurich University of Applied Sciences

Asif Jan

SVP Head of Platform and Solutions, Owkin

Jonas Richiardi

Senior Lecturer, CHUV & UNIL

Mark Baillie

Director, Novartis

Camille Marini

Chief Technology Officer, Owkin

Nicholas Kelley

Director Data Science & A.I. Innovation

Enkelejda Miho

Professor, FHNW – University of Applied Sciences and Arts Northwestern Switzerland

Marius Garmhausen

Principal Data Scientist, Personalised Healthcare (PHC) Analytics, Roche

André Jaun

Chief Technology Officer, Metadvice

Cécile Louwers

Senior Legal Counsel & Data Protection Officer, SOPHiA GENETICS

Jason Plawinski

Data Scientist, Novartis

Khaled El Emam

CEO, Replica Analytics

Kostas Sechidis

Data Scientist, Novartis

Limor Shmerling Magazanik

Managing Director, Israel Tech Policy Institute

Lisa Herzog

PhD Student, University of Zurich & ZHAW

Patrick Schwab

Director Artificial Intelligence and Machine Learning, GSK

Simone Lionetti

Senior Research Scientist, Hochschule Luzern

Jean-Pierre Hubaux

Professor, EPFL

Jean Louis Raisaro

Data Science and Research Lead, CHUV

Nataliya Kryvych

Principal Software Development Engineer, SOPHiA GENETICS

Erik Anderson

Head Data Scientist, Imaging and Visualization, AI Innovation Center, Novartis

Bülent Kiziltan

Head of Causal & Predictive Analytics, Novartis

Track / Co-organizers

Asif Jan

SVP Head of Platform and Solutions, Owkin

Mark Baillie

Director, Novartis

Thomas Zaugg

Head of Management & Product Services, Roche Diagnostics

David Viollier

Business Development Manager, C4DT / EPFL

Ria Kechagia

Scientific Collaborator, C4DT / EPFL

AMLD EPFL 2021 / Tracks & talks

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09:00-12:30 September 14Online

AI & Online Business

Alessandro Nesti, Alexey Grigorev, Nicolas Mériel, André Schumacher, Xabier Rodriguez, Timo Grossenbacher, Markus Barmettler, Hakim Invernizzi, Severin Klingler, Francesco Calabrese

13:30-17:00 September 14Online

AI & Physics

Alexey Melnikov, Florent Krzakala, Giuseppe Carleo, Balaji Lakshminarayanan, Marylou Gabrié, Agnes Valenti, Gregor Kasieczka, Anna Dawid, Paolo Molignini, Roman Worschech, Diego Tapias, Aishik Ghosh, Frank Schäfer

09:00-18:15 September 30Online

AMLD / Global partners