Kris Ganjam is a seasoned AI and software leader, currently Director of Generative AI at the Allen Institute, where he leads the development and application of LLM-based methods and multimodal data integration to advance our understanding of biology and disease. He has a proven track record of shipping AI-driven capabilities into mainstream products, notably contributing to the recent ChatGPT-powered enhancements in Microsoft Bing and Edge and incubating Semantic Fabric for Office. In health and genomics, he helped architect Microsoft Genomics Services and contributed to global data-sharing standards via GA4GH, reflecting a rare ability to couple biology with robust data infrastructure. At Microsoft Research, he pioneered scalable data cleaning, automated data discovery and code synthesis, including Transform Data by Example that leveraged GitHub data to generatively synthesize code, and explored DNA storage technologies. Based in Seattle, Kris combines hands-on engineering with cross-disciplinary collaboration to tackle complex challenges—from aging and cancer to large-scale AI systems—driving impact across academia and industry.
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
C# command line tool to manage virtual desktops in Windows 10
Contributions:2 pushes, 1 branch in 1 month
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