Ayush Jain
About Ayush Jain
Ayush Jain is a Machine Learning Researcher with a Bachelor of Science degree in Computer Science and Chemistry from Duke University. He currently works at the Broad Institute of MIT and Harvard and has presented research at multiple symposia.
Work at Broad Institute
Ayush Jain has been employed at the Broad Institute of MIT and Harvard as a Machine Learning Researcher since 2023. His role is based in Cambridge, Massachusetts, where he focuses on applying machine learning techniques to various research initiatives. This position marks a significant step in his career, allowing him to contribute to cutting-edge research in the field of artificial intelligence and its applications in biomedicine.
Current Roles and Responsibilities
In addition to his position at the Broad Institute, Ayush Jain serves as a Machine Learning Researcher at Duke AI Health since 2022. He also holds the role of Venture Partner at Contrary, starting in 2023. His experience spans multiple institutions, including a brief tenure at Old Dominion University Graduate School in 2022, where he worked as a Machine Learning Researcher for two months.
Education and Expertise
Ayush Jain graduated with a Bachelor of Science degree from Duke University, where he studied Computer Science and Chemistry with a concentration in Artificial Intelligence and Machine Learning. His academic background laid the foundation for his expertise in machine learning, enabling him to engage in advanced research and development projects in the field.
Research Presentations
Ayush Jain has actively participated in academic conferences, presenting his research at notable events such as the 2024 Pacific Symposium on Biocomputing and the 2023 ML4H symposium. These presentations reflect his engagement with the research community and his contributions to the advancement of knowledge in machine learning applications in healthcare.
Academic Achievements
Ayush Jain graduated as Valedictorian from Ocean Lakes Math and Science Academy. This achievement highlights his academic excellence and dedication to his studies, which have been instrumental in his pursuit of a career in machine learning and artificial intelligence.