Sandhya Tripathi Email & Phone Number

I am a machine learning researcher focused on developing, executing, and evaluating high-quality research to improve AI-based clinical decision support systems. I specialize in leveraging advanced algorithms and data analytics to drive insights and enhance healthcare outcomes. - Over 4 years of demonstrated experience in designing and implementing machine learning models for clinical decision support systems, with a strong background in working with Electronic Health Record (EHR) data. Knowledgeable about HIPAA and ethical considerations, focusing on improving model fairness and societal implications. - Proficient in a wide range of machine learning techniques, including supervised, weakly supervised, unsupervised, and self-supervised learning, with a specific emphasis on contrastive learning methods. Actively contributes to the community through technical tutorials and knowledge-sharing initiatives. - Well-versed in state-of-the-art AI methods such as State Space models, LLMs, and Multimodal AI techniques, with a keen interest in staying updated on advancements in the field. - Skilled in programming languages, including Python (PyTorch and other modules) and R for model development and statistical analysis. Proficient in Docker and Git for seamless deployment and version control for scalability of machine learning models. - Experienced in collaborating with multidisciplinary teams to identify and address healthcare challenges through AI solutions.

Listed skills include Statistics.