Meghana Kshirsagar

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Meghana Kshirsagar is an applied scientist in the AI for Good research lab at Microsoft where she works on AI for Health projects involving understanding the late effects of chemotherapy in childhood cancers, SARS-Cov-2 proteomics and AI for good projects such as temporal models for conflict-related sound detection.

Prior to joining Microsoft, she was a postdoctoral research fellow in Christina Leslie’s lab at Memorial Sloan Kettering Cancer Center where she built models to decode epigenetic regulation across cell types. She holds a PhD in computer science from Carnegie Mellon University where her graduate studies were supported by the Richard King Mellon foundation fellowship for Life Sciences. Her thesis work, advised by Jaime Carbonell and Judith Klein-Seetharaman, focused on transfer learning methods for proteomic studies of infectious disease. She also holds a Masters degree in Computer Science from the Indian Institute of Technology, Bombay working with S Sudarshan on graph search algorithms. She has previously worked in the machine-learning group at IBM Research Yorktown Heights NY and at Yahoo! Labs, Bangalore and interned at Microsoft research and IBM research. Meghana has received the best paper award at COMAD 2010. She was also awarded the Ray Ozzie fellowship during her graduate studies.