Durch KI Einsatz in der Wirkstoffforschung und klinischen Studien,
Produktivität steigern, 'time to market' beschleunigen und Kosten senken.

September 01 - 03, 2025 | Palace Hotel Berlin, Germany

Agenda

Werden Sie Sponsor

Jetzt Buchen

Matthias Orlowski

principal machine learning engineer Bayer Vital GmbH

As a Machine Learning Engineer at Bayer, Dr. Matthias Orlowski has contributed to various projects, focusing on natural language processing in pharmacovigilance and medical image processing in radiology and early drug discovery. Matthias' background is in social sciences. He studied in Konstanz, Nottingham (UK), Durham (North Carolina, USA), and Berlin, where he earned a PhD from Humboldt University in 2015. Prior to joining Bayer, Matthias gained diverse experience in multiple roles and organizations, tackling projects in consumer targeting, campaigning, and recommender systems.

2. Conference Day, 03. September 2025

14:50 Machine Learning in Early Drug Discovery – How Bayer Uses Deep Learning to Explore Drug Candidates Simultaneously in Phenotypic, Chemical, and Transcriptional Spaces

How Bayer Creates Large-Scale Cell-Painting Assays
How to Use Machine Learning to Embed Microscopy Images for Phenotypic Profiling
Machine Learning Models for Embedding Chemical Structures
Multimodal Data Analysis

Check out the incredible speaker line-up to see who will be joining Matthias.

Download The Latest Agenda

In Partnership With:

Connect With Us

Questions?

Tel: +49 30 52001534

E-mail: eq@iqpc.de

Imprint:
Company information according to § 5 Telemediengesetz
IQPC Gesellschaft für Management Konferenzen mbH
Address: Rosenstrasse 2, 10178 Berlin, Germany
Tel: 49 30 52 001 534
E-mail: info@iqpc.de
Registered at: Amtsgericht Charlottenburg, HRB 76720
VAT-Number: DE210454451
Management: Torben Haagh, Richard A. Worden, Michael R. Worden