BioInformatics Series - Session 2

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BioInformatics Series - Session 2


πŸ” Bioinformatics Series – Session 2! πŸ§¬πŸ’‘

 

Hey bio-coders! Ready for Round 2? 🎯 

Let’s level up your bioinformatics journey! πŸš€

 

In this session, we’re diving deeper into the real-world tools that scientists use every day. 🌍πŸ§ͺ

You’ll explore how open-source biological databases power discoveries and how data cleaning is the first step to turning raw data into reliable science! πŸ§ΌπŸ”¬

 

✨ Here’s what’s coming up in Session 2: 

βœ… Discover famous open databases like GenBank, Ensembl, and more πŸŒπŸ“š

βœ… Understand data cleaning in biology—from sequencing errors 🧬 to noisy lab results 🧫

βœ… Walk through your Python bio-code line by line—yes, we're breaking it down together! πŸπŸ‘©‍πŸ’»πŸ‘¨‍πŸ’»

βœ… Expand your DNA tool: add new functions and clean sequence data 🧹🧠

 

Whether you're into genetics, evolution, or just love decoding puzzles, this session is for you! 🧩✨

 

πŸ“’ Presented by IEEE Student Branch ULFS2

πŸŽ“ Led by Elie Dina, PhD student in AI & Data Science

 

πŸ“… Date: Thursday, April 10, 2025

⏰ Time: 7:30 PM (1h30)

πŸ“ Online via Google Meet

 

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

#IEEEULFS2 #IEEEEducationWeek
#IEEEULFS2



  Date and Time

  Location

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  • Date: 10 Apr 2025
  • Time: 04:30 PM UTC to 06:00 PM UTC
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  • Starts 09 April 2025 07:45 AM UTC
  • Ends 10 April 2025 05:00 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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