MS – Applied Data Science – University of San Diego
BA – Economics – University of California, Los Angeles (UCLA)
Areas of Interest in Artificial Intelligence
Python implementation of Machine Learning, Bioinformatics, and Natural Language Processing (NLP)
Leonid (Leon) Shpaner, M.S., whose work can be further explored at LeonShpaner.com, is a seasoned data scientist with over a decade of experience in analytics. He currently applies his expertise in the healthcare sector, crafting machine learning algorithms to predict critical health conditions. Concurrently, Leon is an adjunct professor and lecturer at several institutions, including Cornell University, where he specializes in data analytics and statistics.
His substantial contributions to the healthcare field include the development of machine learning algorithms for predicting mortality in the Intensive Care Units (ICU) and pioneering machine learning models that predict end-stage kidney disease. These advanced predictive algorithms showcase his proficiency and dedication to utilizing data to tackle healthcare challenges.
Beyond healthcare, Leon’s versatile analytics skills have proven crucial across various industries such as financial services, education, and personal development. His work offers vital insights into corporate risk assessments, sales forecasts, and growth predictions, empowering businesses to make informed, data-driven decisions.
Renowned for his deep understanding of analytics and his ability to break down complex statistical concepts for his students, Leon is a respected figure in both the professional and academic domains.
What advice do you have for students considering USD’s Applied Artificial Intelligence online degree program?
Embrace coding! Stack Overflow can be a valuable resource. Always try to search for an answer before posing a question; there’s a wealth of information at your fingertips. Remember, there are no shortcuts to mastery. Regular practice is key. If you’re ever in doubt or unsure, don’t hesitate to seek clarification or ask questions.