BioInformatics Series - Session 3
BioInformatics Series - Session 3
π Bioinformatics Series – Session 3: Make Your Data Speak! π§¬β¨
Hey bio-visualizers! π Ready to turn your code into beautiful, meaningful graphs? π¨π
It’s time to see the science behind the data—and share it in ways everyone can understand! π¬π§
In Session 3, we’ll explore the power of data visualization in bioinformatics and beyond!
π What’s on the agenda?
β
Learn which graphs to use for different types of biological data (bar charts, pie charts, line plots & more!) ππ₯§π
β
Understand how to choose the right visuals for scientific communication and science popularization π§π«π
β
Visualize DNA sequence data in a clear and creative way π§¬π¨
β
Work through a hands-on COVID demography case study: age, region, gender & more ππ¦ π
By the end of this session, your code won’t just work—it’ll speak volumes! π₯π»π
π’ Presented by IEEE Student Branch ULFS2
π Led by Elie Dina, PhD student in AI & Data Science
π
Date: Saturday, April 12, 2025
β° Time: 7:30 PM (1h30)
π Online via Google Meet
Join us and code your way into bioinformatics! ππ₯
#IEEEULFS2 #IEEEEducationWeek
Date and Time
Location
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- Date: 12 Apr 2025
- Time: 04:30 PM UTC to 06:00 PM UTC
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Speakers
Mr Elie Dina
BioInformatics Series - Session 2
Biography:
Mr. Elie Dina is a seasoned professional in the realm of data science and machine learning, boasting a rich experience spanning over two years. His expertise encompasses a wide array of skills and accomplishments, including the adept utilization of statistical methodologies and machine learning techniques to dissect and model datasets of varying sizes, from modest to extensive scales. He has successfully navigated the intricacies of deploying machine learning models within production environments, demonstrating a keen proficiency in implementing these solutions effectively.
With a versatile background, Mr. Dina has ventured into diverse industries, leaving an indelible mark in sectors such as environmental studies and e-commerce. His toolset includes mastery in programming languages like Python and R, coupled with a deep understanding of pivotal machine learning libraries and frameworks such as scikit-learn, TensorFlow, and Keras. Beyond technical prowess, Mr. Dina excels in communication, effortlessly conveying complex technical concepts to non-technical stakeholders and delivering data-driven insights with precision to decision-makers.
Email:
Address:France