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I am currently working on You.com, a new search engine. I'm broadly excited by artificial intelligence (AI), deep learning, and natural language processing (NLP). At Stanford, I researched these topics under Professor Andrew Ng in the Stanford Machine Learning Group. Much of my research focused on developing better methods of learning from limited/noisy labels as well as building multimodal datasets and models in resource-constrained domains such as healthcare. I’ve worn various hats, working across engineering, product, and research. I received my MS in Computer Science at Stanford University. Prior to Stanford, I worked as a product manager at Microsoft. I received my BS at Columbia University, where I studied Computer Science and Economics. To get in touch, feel free to email me at saahil.jain@cs.stanford.edu. Email / Google Scholar / LinkedIn / Twitter / Github |
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Engineer, You.com [2020-Present]
Researcher, Stanford Machine Learning Group (Andrew Ng's group) Fellow, 2021 Accel Innovation Scholar Engineer, Datavant Product Manager, Microsoft Researcher, Tatonetti Lab, Columbia Medical Center Researcher, Wireless & Mobile Networking Lab, Columbia University |
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Saahil Jain*, Ashwin Agrawal*, Adriel Saporta*, Steven QH Truong, Du Nguyen Duong, Tan Bui, Pierre Chambon, Yuhao Zhang, Matthew P. Lungren, Andrew Y. Ng, Curtis P. Langlotz, Pranav Rajpurkar Proceedings of the Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks, 2021, (Oral) paper / dataset |
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Saahil Jain*, Akshay Smit*, Steven QH Truong, Chanh DT Nguyen, Minh-Thanh Huynh, Mudit Jain, Victoria A. Young, Andrew Y. Ng, Matthew P. Lungren, Pranav Rajpurkar Proceedings of the Conference on Health, Inference, and Learning (ACM-CHIL), 2021 paper / code |
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Saahil Jain*, Akshay Smit*, Andrew Y. Ng, Pranav Rajpurkar Neural Information Processing Systems (NeurIPS) Workshop on Data-Centric AI (DCAI), 2021 paper |
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Michihiro Yasunaga, Jing Huang, Camilo Ruiz, Yuhui Zhang, Giray Ogut, Saahil Jain, William Wang, Yusuf Roohani, Hongyu Ren, Antoine Bosselut, Ehsan Adeli, Jure Leskovec, Russ Altman Whitepaper, 2021 paper |
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Cécile Logé*, Emily Ross*, David Yaw Amoah Dadey, Saahil Jain, Adriel Saporta, Andrew Y. Ng, Pranav Rajpurkar Proceedings of the Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks, 2021, (Oral) paper / dataset |
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Akshay Smit*, Saahil Jain*, Pranav Rajpurkar*, Anuj Pareek, Andrew Y. Ng, Matthew P. Lungren Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 paper / code |
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Tingjun Chen, Gregory Chen, Saahil Jain, Robert Margolies, Guy Grebla, Dan Rubenstein, Gil Zussman Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems (SenSys), 2016 paper |
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Teaching Assistant: Stanford CS 372 [2020, 2021], AI for Disease Diagnosis and Information Recommendations with Edward Chang
Teaching Assistant: Stanford CS 229 [2020], Machine Learning with Andrew Ng, Chris Ré, and Tengyu Ma |
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