Roche IT Talks: Data Science/Bioinformatics
- 18:00 - Intro
- 18:10 - Similar Case Database - AI-enabled Clinical Decision Support System (Agnieszka Thompson)
- 18:40 - Responding to changes in the architecture of data science solution - ZYPAD case study (Lech Hubicki)
- 19:10 - Digital biomarkers in Clinical Trials (Elżbieta Maniakowska)
- 19:40 - Closure
- 20:00 - 21:00 Networking
We are very happy to invite you to our first live event after a longer break, called Roche IT Talks: Where code meets care. As before, we continue our initiative of sharing knowledge in the field of innovations and modern technology.
At Roche Global IT Solution Centre, we create innovative IT solutions that help maintain health and save the lives of millions of patients around the world. During this meeting, we would like to present examples of our solutions in the areas of Data Science and Bioinformatics.
Who is this meeting for?
Due to the subject matter presented, we invite professionals and experts already experienced in the IT industry.
Meet the speakers:
Agnieszka Thompson
Agnieszka joined Roche over four years ago after completing her Ph.D. in Computational Biology. During this time she has applied her research experience and developed software engineering skills to build scientific pipelines in the area of human genetics. In recent years she has focused on utilizing ML/DL for the analysis of various modalities of molecular data in projects related to early drug target discovery, drug repurposing and diagnostics.
In her talk, Agnieszka will present a collaborative project developed under a public-private partnership, aimed at introducing innovative solutions to the Polish healthcare system. The objective of this study is to optimize the diagnosis and treatment of lung cancer patients in Poland by identifying cases with the most similar tumor morphology and genetics.
Lech Hubicki
Lech is a chapter head manager in the area of data science and advanced analytics. Lech’s professional background covers physics (Ph.D. in quantum cosmology), biostatistics, data mining (telecom, agriculture, finance), management, Agile and data science product development.
At Roche Global IT Solution Centre we executed hundreds of successful proof of concepts (POC) in data science but we delivered a little portion of POC on production. We believe in the potential of data science to improve patient's life and improve the way how we work in the organization. To change this potential into reality, we need to be effective both in POC and in delivering data science as working software. The presentation will focus on highlighting the motivation regarding the technology we used to create the data science lifecycle framework (ZYPAD). The main driver for ZYPAD design is the ability to respond to the change - both business and technical requirements.
Ela Maniakowska:
Ela has been working in Roche since the beginning of her professional career. She spent the majority of this time in the Data Science area mainly working on NLP, clustering, anomaly detection, and supporting Finance, HR and ERP. Currently, as Senior DSP Engineer, she is part of the Digital Biomarkers team and works with speech data.
We live in a digital era and got used to the fact that smartphones and wearables accompany us in many aspects of everyday life. They are also used in clinical trials – digital biomarkers collected by sensors in smart devices can draw a more comprehensive picture of how a patient feels on a day-to-day basis. This means a lot of data becomes available for physicians and scientists, so they can use it to understand the disease and monitor a patient's response to treatment. Among other, more sophisticated types of sensors, we have a microphone. That can be used to record a patient's speech – which is a rich source of information about a patient's health condition.
This event is FREE to attend but limited, so book your entry pass now.
We are looking forward to seeing you there! :)