BioInformatics Series - Session 3

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BioInformatics Series - Session 3


πŸ“Š Bioinformatics Series – Session 3: Make Your Data Speak! 🧬✨

Hey bio-visualizers! πŸ‘€ Ready to turn your code into beautiful, meaningful graphs? πŸŽ¨πŸ“ˆ
It’s time to see the science behind the data—and share it in ways everyone can understand! πŸ’¬πŸ§ 

In Session 3, we’ll explore the power of data visualization in bioinformatics and beyond!

πŸ” What’s on the agenda?
βœ… Learn which graphs to use for different types of biological data (bar charts, pie charts, line plots & more!) πŸ“ŠπŸ₯§πŸ“‰
βœ… Understand how to choose the right visuals for scientific communication and science popularization πŸ§‘‍🏫🌍
βœ… Visualize DNA sequence data in a clear and creative way 🧬🎨
βœ… Work through a hands-on COVID demography case study: age, region, gender & more πŸ“πŸ¦ πŸŒ

By the end of this session, your code won’t just work—it’ll speak volumes! πŸ”₯πŸ’»πŸŽ™

πŸ“’ Presented by IEEE Student Branch ULFS2
πŸŽ“ Led by Elie Dina, PhD student in AI & Data Science

πŸ“… Date: Saturday, April 12, 2025
⏰ Time: 7:30 PM (1h30)
πŸ“ Online via Google Meet

Join us and code your way into bioinformatics! πŸš€πŸ”₯

#IEEEULFS2 #IEEEEducationWeek



  Date and Time

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  • Date: 12 Apr 2025
  • Time: 04:30 PM UTC to 06:00 PM UTC
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  • Starts 10 April 2025 06:30 AM UTC
  • Ends 12 April 2025 04:15 PM UTC
  • No Admission Charge


  Speakers

Mr Elie Dina

Topic:

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





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