[Statlist] BBS Seminar: Predictive modelling, machine learning and causality (Nov 1, 2019)

Blatna, Bibiana b|b|@n@@b|@tn@ @end|ng |rom nov@rt|@@com
Thu Aug 8 06:08:28 CEST 2019


Dear all,

Please find attached the final agenda including all abstracts.

Best regards, Mit freundlichen Grüssen, Meilleures salutations

Bibiana Blatna
Administrative Expert

Phone    +41 61 3242537
bibiana.blatna using novartis.com<mailto:bibiana.blatna using novartis.com>

Novartis Pharma AG
Clinical Development & Analytics, GDD
Oncology
WSJ-103.2.26.11A
Postfach
CH-4002 Basel
SWITZERLAND



From: Blatna, Bibiana <bibiana.blatna using novartis.com>
Sent: Wednesday, June 12, 2019 10:22
Subject: FW: BBS Seminar: Predictive modelling, machine learning and causality (Nov 1, 2019)

Dear colleagues,
The BBS is pleased to host a full-day seminar on predictive modelling, machine learning, and causality with several eminent speakers on November 1, 2019 at Roche Basel, from 08:30-16:45h.
The talks will present recent methodological advances and challenges as well as case studies from the pharmaceutical industry and academia. We welcome all quantitative scientists to this event which will be a great opportunity to meet with colleagues and exchange ideas on this emerging and vibrant field.
The seminar is free of charge but registration is mandatory for organizational reasons. Please register via email to fred.sorenson using xcenda.com<mailto:fred.sorenson using xcenda.com> by Friday, October 18, 2019, the latest.
We look forward to seeing you,
Marcel Wolbers, Kaspar Rufibach, Laurent Essioux, Dominik Heinzmann (on behalf of the BBS)

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