DataHow AG
Jakub Polak is a Senior Machine Learning Engineer at DataHow AG, with experience in the field since June 2021, and previously served as a Machine Learning Engineer at the same company from September 2020 to January 2021. Earlier experience includes an internship in IT Consulting at Deloitte and a summer research project in Applied and Computational Mathematics at The University of Edinburgh. Jakub also completed an internship in Market Risk at EY. Educationally, Jakub holds a Master's degree in Statistics from ETH Zürich and a Bachelor's degree in Mathematics from The University of Edinburgh, along with a high school diploma in Mathematics from Gymnázium Grösslingová 18 in Bratislava.
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DataHow AG
Bioprocesses are hard to develop and optimize. With so much complexity, such little room for error, and a constant strain on resources, it can be challenging to make significant improvements with the generic tools available today. To address this, we developed our own digital bioprocess specialists. Embedded with our extensive bioprocess expertise and cutting-edge technologies, our software solutions tackle the specific challenges of bioprocesses - supporting you through data pre-processing, process model development, and the generation of rich process insights to support in-depth process understanding. With structured workflows and a cloud-based infrastructure, generating and sharing process insights across your organization has never been easier. We have already transformed bioprocess development for some of the largest biopharma companies in the world and are committed to help delivering industry 4.0 in biopharma. Do you have any questions about our software or are you interested in a general exchange? Feel free to drop us a message here on LinkedIn. You can also find more information about our services and products on our website. 🌎 https://www.datahow.ch