Lucky Pamula (EMBA ’16) began his career at Bayer Corporation in 2006 as a consultant in the Business Intelligence and Analytics Department. He quickly grew his role and responsibilities by using data platforms and technologies to support research and innovation projects.
“During my tenure at Bayer, I’ve built a reputation for myself with consistent delivery, dedication, and passion,” he says.
This spring, he will travel to Silicon Valley for a short-term assignment as senior manager of artificial intelligence and data science at the Bayer Corporation LifeScience iHUB. He will help Bayer better deliver life-saving products by analyzing data related to diseases, drugs, patients, and clinical trials.
“I will primarily concentrate on Big Data, artificial intelligence, and data visualization technologies, while leveraging internal IT resources to external vendors,” Pamula says. “Additionally, I’ll be assisting iHUB in strengthening relationships with universities, digital technology partners, research organizations, and other potential partners.”
Pamula says that the growing and increasingly aging world population requires improved medical care. His work at Bayer has the potential to improve people’s quality of life by preventing, alleviating, and treating diseases.
“With our innovative products, we are contributing to finding solutions to some of the major challenges of our time,” he says.
Based in Silicon Valley’s NASA Research Park, iHUB generates innovative digital solutions for Bayer and its customers. The technology helps physicians solve clinical problems, manages diseases in humans, plants, and animals, enables farmers to improve crop yields, and facilitates further life-sciences research and development.
“This data technology has the potential to bring a wide range of possibilities to the healthcare industry, including real-time patient care, detecting diseases in X-rays, and even monitoring a baby’s health during pregnancy,” he says.
Following the short-term assignment, Pamula will return to Bayer’s Business Intelligence and Analytics Department, where he will continue to assist in iHUB research projects and finding ways to extend the technology to other parts of Bayer, such as radiology, digital farming, digital marketing and customer insights, and social listening.
Pamula says his experience in the Katz EMBA Worldwide program greatly helped to strengthen his skills in leadership, entrepreneurship, strategic thinking, cross-cultural awareness, and communication.
“I am happy that I am able to create value through these projects at Bayer, and I am confident that these skills will help support my career goals,” he says.
Katz Alumni involved in Digital Health, Artificial Intelligence, and Machine Learning technologies who would like to collaborate with Bayer may contact Pamula at Lucky.Pamula@Bayer.com.