I enjoy teaching and love to solve image processing challenges using python.

Dublin, CA
Joined April 2018
Getting hard to support Twitter, so I've decided to fully move to Bluesky. You can follow me here: bsky.app/profile/digitalsree… #BlueskySocial
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AI is rapidly changing digital pathology. I just completed a 6-video series covering foundation models, embeddings, MIL, WSI mechanics, spatial analysis, and prognosis prediction in computational pathology. tinyurl.com/45xfeu7j #DigitalPathology #FoundationModels #AI
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Excited to share my latest preprint on bioRxiv! Synthetic 3D fluorescence organoid images with exact ground-truth masks for training deep learning models + testing pipelines before real data. doi.org/10.64898/2026.04.16.… #microscopy #Biotech #DrugDiscovery
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Recommender systems ≠ just movies and shopping. The same ideas behind collaborative filtering show up in drug discovery, scientific research, and finance. New intro video in a fresh series.. youtu.be/EdDj06vxjnw #DataScience #RecommenderSystems
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In my latest video, I use a marketing example to explain causal inference: how to measure true incremental lift, identify “persuadables,” and avoid optimizing ad spend based on correlation. Also applicable to #Science youtu.be/gG8h5gtCGOY #DataScience #Marketing #Python
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I shared my perspective in Photonics’ Trends article on how AI is reshaping biological imaging, from segmentation to end-to-end workflows. Recommended reading for anyone working with scientific images. photonicsspectra-digital.com… #Imaging #AI #Microscopy
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ML wisdom: A confidently wrong model is worse than a noisy or random one. #AI #MachineLearning #DeepLearning
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Just dropped a new tutorial on SHAP! Learn how to explain your ML predictions - comparing XGBoost vs Neural Networks with hands-on Python code. youtu.be/eLrtufRomh8 #MachineLearning #SHAP #XGBoost #ExplainableAI #DataScience #Python
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New YouTube tutorial: back to topics I enjoy: #microscopy, #materials #science, and #python . I walk through SAM-powered grain detection, quantitative grain analysis, and ASTM E112-compliant reporting (PDF). Full Python code included. Watch here: youtu.be/KCGKLh05HRM
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We’re moving fast from human-in-the-loop to agent-in-the-loop. As AI takes over more judgment-driven tasks, the space for meaningful human contribution keeps shrinking. If we don’t define our role now, the future might define it for us. #FutureOfWork #AIAgents
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By the way, I compiled my beginner coding notes into a book titled 'Learn Python The Simple Way', now on Amazon. Check it out: a.co/d/3RX20UM #Python #LearnToCode
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Back from a ~1 year offline experiment. Conclusion: I missed the science community here. Ready to re-engage! 🔬🙂 #Science #Microscopy #Research
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New tutorial: Build Your Own Image Search Engine with Vision Transformers & FAISS! Watch here: youtu.be/rFCtZj_r6tA #Python #FAISS #ComputerVision #DeepLearning #YouTube
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This is exactly the kind of thing Will Ferrell’s character would obsess over as a parody president in a movie.
NEW: President-elect Trump says he intends to change the name of the Gulf of Mexico to the "Gulf of America." "That covers a lot of territory ... what a beautiful name." abcnews.link/MKTPOyb
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New #YouTube tutorial on Faiss! Learn how it outperforms brute force cosine similarity for vector search & clustering, with Python code examples. Next up: building an image-based search engine. Watch here: youtu.be/0jOlZpFFxCE #FAISS #Python #Microscopy #ImageSearch
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Think coding and AI are just for computer scientists? Think again! As a researcher, learning to code is about unleashing unlimited possibilities in your research journey. Start your journey with my #YouTube channel: youtube.com/@DigitalSreeni #Research #Coding #AI #NewYear2025
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I'm glad to connect with so many researchers here! Besides this platform, where else do you engage—Reddit, forums, or other communities?
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Just released a tutorial: Image Similarity Search with VGG16 & Cosine Distance in Python! Learn how to use VGG16 as a feature extractor & cosine distance for similarity search. Watch & subscribe: youtu.be/dCcRWdmmgA0 #microscopy #python #imagesimilarity #YouTube #tutorial
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