Janus Hackwell
About Janus Hackwell
Janus Hackwell is the AVP II, Data Science at Bristol Myers Squibb, specializing in AI/ML solutions for healthcare.
Current Role at Bristol Myers Squibb
Janus Hackwell is currently serving as an AVP II, Data Science, Healthcare AI Platforms Lead, and Healthcare SME at Bristol Myers Squibb in the United States. His role involves leading initiatives in developing and implementing AI/ML solutions to support advancements in healthcare technology. His work centers on enhancing clinical decision-making and patient monitoring through integrated AI systems.
Past Experience at Anthem Biosciences
Janus Hackwell worked at Anthem Biosciences Private Limited from 2017 to 2020 in the United States. During his tenure, he led data science efforts to innovate in healthcare AI platforms. He focused on solutions that improved healthcare utilization management and provider network management, contributing significantly to the company's growth in the data science sector.
Educational Background
Janus Hackwell completed his Doctor of Philosophy (PhD) in Neuroscience and Molecular Biology from Columbia University. His academic background laid the foundation for his expertise in data science and healthcare AI solutions. His studies have underpinned his career, enabling him to effectively bridge complex scientific concepts with practical applications in AI and machine learning.
Specialization in AI/ML Solutions for Healthcare
Janus Hackwell specializes in creating AI/ML solutions tailored to healthcare applications. His expertise extends to building AI cores for population health management and clinical coding. He has successfully developed platforms that integrate AI for clinical decision support and telemedicine patient monitoring, which have streamlined various healthcare processes.
Professional Journey and Significant Contributions
Janus Hackwell has a rich professional history, including roles as a Senior Data Scientist at Knowledge Streams, and an Assistant Professor at Icahn School of Medicine at Mount Sinai. At Joan & Sanford I. Weill Medical College of Cornell University, he contributed to computational neuroscience and systems research. His diverse experience has established him as a significant figure in the field of healthcare AI.