Ayushi Agarwal

Ayushi Agarwal is the Head of Data Science and Research at United We Care, where she leads groundbreaking initiatives at the intersection of AI and mental health. With 12 patents and 10 research papers in areas such as hallucination mitigation, causality, reasoning and needle-in-a-haystack retrieval in Large Language Models (LLMs), she is a recognized authority in her field. Her current work focuses on leveraging Spatio-Temporal Graph Attention Networks to establish causality and determine transfer entropy in mental health.

Notable achievements include:

- 27 World Records in AI: Holds 23 world records in Natural Language Inference (NLI) and 4 in Automatic Speech Recognition (ASR), surpassing previous records by Meta, Google, and MIT.

- Developing a vertical Large Language Model for mental health.

- Building the world's largest clinical knowledge graph, with over 20 million entities and 230 million relationships, integrating genetics, pharmacogenomics, diseases, drug interactions, and lifestyle predictors for clinicians.

- Co-authored “LLMs Will Always Hallucinate and We Need to Live With This,” introducing Structural Hallucinations in LLMs, with over 2 million reads.

- Spearheading the development of Stella, an AI tool offering 24/7 psychological support in 29+ languages, used by millions worldwide.

Ayushi has championed the use of AI for social good, mentoring 1500+ individuals in Data Science, as part of her commitment to empowering others in the field.