WEBINAR
AutoML & Predictive Data Analysis for Non- Data Experts
May 20th, 2021
11am PDT / 9pm EEST / 6pm GMT
Zoom Webinar #2005-1
Free
Automated Machine Learning (AutoML) platforms are on the rise. You do not have to be a machine learning expert to perform a sophisticated, correct, and high-quality data analysis. AutoML is transforming biomedicine and multi-omics predictive analytics allowing life science professionals to build data-driven predictive models and identify biomarkers faster and most cost effectively, regardless of level of data-analytics expertise.
In this webinar, Aris Karanikas, Business Development for JADBio, and Pavlos Charonyktakis, CTO at JADBio, will provide a thorough introduction to autoML’s key fundamentals, opportunities, and problem-solving methods with case-studies in bioinformatics using the JADBio platform for demonstration.
By attending this webinar, you will:
– Demystify AutoML
– Understand whether AutoML is appropriate for you or the challenges facing your organization
– Experience the ease of use of a modern AutoML platform
– Answer questions such as “Can I work with an Automated Machine Learning platform, without the need for a data expert?”
– Learn about the latest tools and technologies, along with training resources, that can help deliver breakthrough results
Who is this Webinar for:
– Non-experts in machine learning
– Life Scientists
– Bioinformaticians
– Clinicians
– Oncologists
– Researchers
– Data Analysts
and anyone who needs to create ML models, from their data, and needs to understand the basics to get started.
Take-away:
All attendees will receive a fully working monthly licence (free of charge) for the JADBio AutoML platform to learn how they can create their first AutoML model with their own data or the datasets available within the platform.
25 min presentation + 20 min Q&A
PANELISTS
Aris Karanikas
Sales & Business Development
Having worked with several mature technology companies, but also innovative startups, Aris has developed a rich skill set in different aspects of a company’s business lifecycle: Ensuring customer success and shareholder value at all stages of the start-up lifecycle; devising and executing strategy, leading to successful funding rounds and exits; Leading corporate Sales/BD Departments, increasing revenues and expanding customer bases; Identifying strategic partnership opportunities; working closely with Marketing & Engineering teams for Product Management, delivering differentiation and competitive advantage.
Pavlos Charonyktakis
Chief Technology Officer
Pavlos Charonyktakis is a scientific programmer at JADBio. As a scientific programmer, he developed the Just Add Data tool, a complete statistical analysis pipeline for performing feature selection, identifying and interpreting predictive signatures. He also contributed to the development of the Biosignature Discoverer plug-in for identifying molecular signatures for the CLCbio bioinformatics platform as well as to a highly optimized machine learning and statistics library. He has been the author or co-author of 6 journal and peer-reviewed conference articles.