Byte sized content for the busy scientist

Takeaways from a young researcher at an International Machine Learning Conference

Recently I had the opportunity to attend ACM (Association of Computing Machinery) Multimedia 2019, after having a paper accepted for AVEC (Audio-Visual Emotion Challenge, rebranding to Audio-Visual Engagement Challenge in 2020). During the conference, I met some great people, learned very much about the applications of media-based data and fusion in multi-modal contexts. However, I…
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The growing gap between academics and reality

Digging out of the Academics-Reality Gap I’m leaving academia after more than 13 years across 4 of the largest and most well-known institutions in America. The choice to part ways was not dramatic nor was it a particularly smooth process. In fact, I thought I would keep a part time relationship with my current academic…
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Your Behavior, Modeled

Think about the last time you’ve seen ads or recommendations being made to you while browsing Netflix, Instagram or Amazon. It’s likely that such recommendations are driven by what most people would call “AI” or Artificial Intelligence. Now think about when the last time the recommendation or ad you got was actually was something you…
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Fynd Science Analytics

PyMethylProcess – a preprocessing workflow for DNA methylation

Performing highly parallelized preprocessing of methylation array data using Python can accelerate data preparation for downstream methylation analyses, including large scale production-ready machine learning pipelines. We present a highly reproducible, scalable pipeline (PyMethylProcess) that can be quickly set-up and deployed through Docker and PIP.

Deep learning applications in everyday life

Deep learning in epigenomics and the new Python tool MethylNet

Deep learning models, designed for biology, will enhance our ability to study natural phenomena and disease states.