Research Engineer with Stanford University CRFM
Elliot is a research engineer working on language models for Stanford CRFM. Currently he is working on a large scale, open source foundation model for biomedical NLP. For nearly a decade Elliot has helped build and maintain various open source Stanford projects including CoreNLP, Stanza, and Mistral.
CS PhD Student at Stanford University
Michihiro Yasunaga is a PhD student in Computer Science at Stanford University, advised by Percy Liang and Jure Leskovec. He works on natural language processing and machine learning, with a focus on developing language models with knowledge and reasoning abilities.
Leo Anthony Celi
Principal Research Scientist Massachusetts Institute of Technology
Leo Anthony Celi, MD, MPH, MSc. is Principal Research Scientist Massachusetts Institute of Technology Associate Professor (Part Time) Harvard Medical School. Leo focuses on scaling clinical research to be more inclusive through open access data and software, particularly for limited resource settings; identifying bias in the data to prevent them from being encrypted in models and algorithms; and redesigning research using the principles of team science and the hive learning strategy.
PhD scholar at IIIT,Delhi
Raghav is currently a Ph.D. scholar at IIIT-D working on AI in Healthcare. Prior to joining this institute, he completed Masters in Mathematics from IIT Kanpur where he was the rank opener for the batch.He also outperformed in CSIR-JRF which approved his funding for Ph.D. His Ph.D. thesis is currently focused on Causal Machine Learning and Reinforcement Learning in Healthcare. His focus is to build data-driven decision support that is explainable and effectively deployable.He is highly motivated to explore the applications of Mathematics in Healthcare.
PhD scholar at IIIT,Delhi
Shreya is a PhD scholar at the Centre for Computational Biology, IIIT Delhi, India in the area of Data mining and algorithm development in genomics. Her research is focused on developing algorithms for Big Data Mining with Graph Analytics for Genomics data including various omics datasets. She is keen to develop time and space-efficient algorithms to reduce the computational complexity of omics data.
Research Scientist, Google AI
Vivek is an AI researcher in the Health AI team at Google working on using AI to scale world-class healthcare to everyone. Vivek is particularly interested in building large foundation models for biomedical applications and leads a Google Brain moonshot.More details can be found at natviv.me
– Introduction: Shreya Mishra,Piyush Mathur
– Building Foundation Models For Biomedical NLP: Elliot Bolton & Michihiro Yasunaga, Stanford University
– Large Language Models Encode Clinical Knowledge: Vivek Natarajan
-Applying Natural Language Processing to healthcare: Raghav Awasthi,IIIT,Delhi
– Panel discussion: Leo Anthony Celi