Alicia Lombardi Webb’s Post

Meet Joshua Lange, a Cancer Research Scientist who #LearnedWithCodecademy to make his daily workflow a little easier — and a lot faster! Joshua realized he needed to learn how to process massive amounts of data efficiently. His brother, a Software Engineer, suggested Joshua learn Python to automate his work. Through coding and bioinformatics, tasks that once took hours to process now only take him 15 seconds! His biggest piece of advice? Don’t wait for someone to tell you to start learning. “I saw a problem, decided to make a change in my job, and now programming is part of my role rather than having to switch careers completely. You don’t have to change careers; you can make your current job better.” Head on over to the Codecademy blog, In Development, to read Joshua’s full story, how he made time to learn while working a full-time job, and his advice for people looking to upskill in their current role. Link in bio and stories. ☝️ https://bit.ly/4it5tMb

Meet Joshua Lange, a Cancer Research Scientist who #LearnedWithCodecademy to make his daily workflow a little easier — and a lot faster! Joshua realized he needed to learn how to process massive amounts of data efficiently. His brother, a Software Engineer, suggested Joshua learn Python to automate his work. Through coding and bioinformatics, tasks that once took hours to process now only take him 15 seconds! His biggest piece of advice? Don’t wait for someone to tell you to start learning. “I saw a problem, decided to make a change in my job, and now programming is part of my role rather than having to switch careers completely. You don’t have to change careers; you can make your current job better.” Head on over to the Codecademy blog, In Development, to read Joshua’s full story, how he made time to learn while working a full-time job, and his advice for people looking to upskill in their current role. https://bit.ly/4fqw8Yl

Meet Joshua Lange, a Cancer Research Scientist who #LearnedWithCodecademy to make his daily workflow a little easier — and a lot faster! Joshua realized he needed to learn how to process massive amounts of data efficiently. His brother, a Software Engineer, suggested Joshua learn Python to automate his work. Through coding and bioinformatics, tasks that once took hours to process now only take him 15 seconds! His biggest piece of advice? Don’t wait for someone to tell you to start learning. “I saw a problem, decided to make a change in my job, and now programming is part of my role rather than having to switch careers completely. You don’t have to change careers; you can make your current job better.” Head on over to the Codecademy blog, In Development, to read Joshua’s full story, how he made time to learn while working a full-time job, and his advice for people looking to upskill in their current role. https://bit.ly/3zpbyaH

🎉 Just submitted my R coding project, and what an insightful journey it has been! Over the past few weeks, I’ve had the chance to dive deep into R programming, which I found to be quite similar to Python (a language I learned last semester). However, this time, the focus on machine learning added an exciting dimension. From analyzing, classifying, and grouping data, it’s been fascinating to explore how computational tools can create meaningful insights across various industries. 🔬 Our project: We developed a machine learning model to classify cancer stages based on bacterial abundance at tumor sites using the BIC database. This project was especially exciting because of its potential significance in the biomedical field. One of the major challenges in cancer diagnosis today lies in distinguishing between healthy individuals and those in stage I cancer. At this early stage, differences in microbiomes are minimal, making detection difficult. While later-stage cancers show more noticeable changes in the tumor microenvironment and bacterial profiles, this isn’t as evident earlier. Our model highlights this challenge, and we suspect that limited data capturing these subtle differences contributes to the issue. Nevertheless, we remain hopeful for advancements in this area to improve early-stage diagnosis. 💡 Key takeaways: Coding: Tackling machine learning algorithms for data classification was both challenging and rewarding. People management: Every teammate has a unique working style, so effective collaboration and responsibility-sharing were key. Time management: Balancing a large data-intensive project while preparing for finals required careful planning and prioritization. Of course, the journey wasn’t without struggles—perfecting the code for a large dataset was tricky. But with teamwork and persistence, we accomplished our goals! 🙏 Huge thanks to my amazing teammates for their support and collaboration throughout this process. It was meaningful and rewarding to work with all of you. To everyone tackling finals, best of luck! We’ve got this! 💪✨ #RProgramming #MachineLearning #DataScience #BiologicalSciences #CodingJourney

Do you have a PhD in Computer Science and want to gain Pharma/Biotech industry experience applying state of the art machine learning techniques to Medicinal and Computational Chemistry groups? Learn more about this Research Fellow AI/ML for Drug Design role here: https://smrtr.io/jyz2Q Ye Wang #machinelearning #programming #python #pytorch #tensorflow #chemistry

🥳 I am thrilled to share that I have been recognized as a Top Computer Science Voice, algorithm voice and programming voice on LinkedIn! 🎉 A heartfelt thank you to all my connections, followers, and colleagues who have supported me on this journey. Your encouragement and engagement have been instrumental in this achievement. I'm excited to continue exploring the deep ocean of ever-evolving world of computer science, from AI and machine learning to software development. #ComputerScience #TechCommunity #LinkedInTopVoice #Innovation #AI #MachineLearning #SoftwareDevelopment #TechInnovation

Take your first step toward a thriving career in healthcare! Join Learning Labb Research Institute and master Clinical Research, Medical Coding, or Bioinformatics. Your journey to success begins today!  #datascience #machinelearning #ai #bigdata #dataanalytics #deeplearning #datavisualization #python #rstats #datamining #artificialintelligence #predictiveanalytics #statistics #datadriven #dataengineering #datawrangling #businessintelligence #dataethics #cloudcomputing #analytics

OpenAI released new model "o1". Designed for "Thinking" / "Reasoning" #Genetics #QuantumComputing #Coding These models can reason through complex tasks and solve harder problems than previous models in science, coding, and math. Available for ChatGPT Plus/Team users now. OpenAI o1 ranks in the 89th percentile on competitive programming questions (Codeforces), places among the top 500 students in the US in a qualifier for the USA Math Olympiad (AIME), and exceeds human PhD-level accuracy on a benchmark of physics, biology, and chemistry problems (GPQA). The example video's are impressive, but more important test it yourself.

At SilicoGenesis, we've developed cutting-edge AI and machine learning models to accelerate the discovery of antibodies at an unprecedented speed and scale. Curious about how we can help drive your drug discovery projects forward? Or perhaps you're interested in Protkit, our open-source Python library designed for a wide range of computational biology tasks? Connect with us today, and let's explore how we can collaborate. #ComputationalBiology #MachineLearning #DrugDiscovery #ProteinEngineering #OpenSource

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