Hippocratic AI
Debajyoti (Debo) Datta is a co-founder and researcher at Hippocratic AI since May 2023, with a strong background in machine learning and natural language processing. Previous experience includes serving as an Applied Scientist at Amazon Web Services, where work focused on few-shot learning for information extraction tasks, and a Machine Learning Fellow at Intuition Machines, Inc., emphasizing semantic understanding of language and images. At Crossing Minds, Debajyoti worked as a Research Engineer on large unsupervised clustering problems, while at x.ai, a Machine Learning Engineer role involved enhancing automated meeting scheduling. Academic contributions include positions as a Visiting Research Scholar at Carnegie Mellon University and Télécom ParisTech, along with a role at Google during the Summer of Code. Debajyoti holds a PhD in Machine Learning in Healthcare and Natural Language Processing from the University of Virginia, along with a Master’s Degree in Systems Engineering focused on Machine Learning and a Bachelor's degree from Birla Institute of Technology and Science, Pilani.
Hippocratic AI
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Hippocratic AI’s mission is to develop the first safest focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health. The company was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, and Nvidia. Hippocratic AI has received a total of $120M in funding and is backed by leading investors, including General Catalyst, Andreessen Horowitz, Premji Invest, and SV Angel.