Practical Pattern Recognition in Life Science Data Analysis

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Exploring methods like heuristics and user input rather than complex ML for pattern recognition in life science data, integrating plate data analysis and transforming data into tabular format using LMs and an open-source tool named plate chain for structured data processing.

Sphinx Bio develops computational tools to accelerate scientific discovery. The company is focused on addressing the computational data analysis bottleneck by enabling scientists to do the analysis themselves.

Nicholas Larus-Stone is the founder of Sphinx. He joins the show to talk about being a computer scientist at the interface with biology, the data analysis bottleneck in biology, designing a software tool for scientists, their go-to-market strategy, and more.

Nicholas also started Bits in Bio which is a popular community for people building software for science. You can check out their upcoming meetups and hackathons at bitsinbio.org.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer .