Speaker Profile

Ph.D., Director, Ardigen

Biography
Dr. Michał Warchoł serves as a Director of Ardigen AI Labs, leading the development and applications of machine learning methods in Ardigen's projects. He did a PhD in Statistics at the Institute of Statistics, Biostatistics and Actuarial Sciences at Université Catholique de Louvain in Belgium. Part of his research program was conducted at the Department of Statistics at Columbia University in New York. Prior to joining Ardigen, Dr. Warchoł co-founded DeepArt UG, a company providing novel image processing algorithms based on deep learning.


AI and Data Sciences Showcase:
Ardigen

Ardigen is a life science computational partner in the era of Artificial Intelligence. We provide custom services based on our domain knowledge and expertise in bioinformatics, machine learning, and software engineering together with our proprietary technology.

Augmenting Drug Discovery with Artificial Intelligence
Rapid development in artificial intelligence is one of the driving components of the fourth industrial revolution. Pharmaceutical and Healthcare industries are already taking advantage of machine learning algorithms providing, among others, more precise and cheaper diagnostics. In this talk I will show case studies of successful applications of advanced machine learning in drug discovery process. The focus will be on two examples where chemical data and histological images are turned into value.

 Session Abstract – PMWC 2020 Silicon Valley

Track 7 - January 22 9.00 A.M.-3.45 P.M.,Track 6 - January 23 11.15 A.M.-11.30 A.M.,Track 2 - January 24 11.15 A.M.-4.00 P.M.


The PMWC 2020 AI Company Showcase will provide a 15-minute time slot for selected AI companies to present their latest technologies to an audience of leading investors, potential clients, and partners. We will hear from companies building technologies that expedite the pre-clinical and clinical drug discovery and development process, accelerate patient diagnosis and treatment, or develop scalable systems framework to make AI and deep/machine learning a reality.

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