Mark Salacinski
About Mark Salacinski
Mark Salacinski is the AI Data Science Lead at Bristol Myers Squibb, with 15 years of experience in AI/ML applications in Life Sciences and Health & Public Service industries.
AI Data Science Lead at Bristol Myers Squibb
Mark Salacinski currently holds the position of AI Data Science Lead at Bristol Myers Squibb, working remotely. In this role, he leads a global team of data scientists, engineers, and project managers to develop AI technologies that improve healthcare outcomes. His team focuses on risk evaluation and mitigation strategies for medications and ensures the fair and equitable distribution of investigational medicines through Pre-Approval Access programs.
Prior Roles at Bristol Myers Squibb
Before becoming AI Data Science Lead, Mark Salacinski was Associate Director of the AI Data and Technology Lab at Bristol Myers Squibb from 2020 to 2022. Based in New Brunswick, New Jersey, he focused on leading AI and technology initiatives in the pharmaceutical field. His contributions in this role were instrumental in enhancing the company’s capabilities in AI-driven healthcare solutions.
Experience at Accenture
Mark Salacinski spent a significant portion of his career at Accenture, starting as a Business Analyst in the Washington D.C. Metro Area from 2012 to 2014. He then progressed to the role of Consultant from 2014 to 2017 and Data Science Manager from 2017 to 2020 in the Greater New York City Area. During his tenure, he specialized in applying data science and AI/ML technologies across various projects in the Life Sciences and Health & Public Service industries.
Educational Background
Mark Salacinski holds a Bachelor of Science degree in Mechanical & Aerospace Engineering from Rutgers University, where he studied from 2006 to 2010. His technical background laid a strong foundation for his transition into Data Science and AI, equipping him with the analytical and problem-solving skills essential for his roles in technology and data science.
Projects in Generative AI
Mark Salacinski has developed and deployed custom Generative AI chatbots tailored to various internal user groups. He has designed and implemented Generative AI authoring tools using custom-trained Llama 2 models, incorporating LoRA and quantization techniques for efficient training and inference. His innovative work in Generative AI exemplifies his commitment to leveraging AI technologies to meet unique requirements and improve operational efficiencies.
Mentorship and Education in AI
Committed to mentorship and education, Mark Salacinski provides monthly mentorship sessions on AI and large language models (LLMs) to classes of over 150 individuals. He has also mentored over 20 individuals one-on-one at various levels in AI, sharing his extensive experience and knowledge and helping to shape the next generation of AI professionals.