Headshot of Leon Shpaner, MS

Leon Shpaner, MS

Adjunct Professor

Academic Degrees

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)

About

Leonid (Leon) Shpaner, MS, is a data scientist and adjunct professor whose work spans healthcare, education, and industry. His portfolio and projects can be explored at LeonShpaner.com. He focuses on applied analytics and machine learning, with an emphasis on developing models that support real world decision making. In healthcare, Leon has built machine learning algorithms for predicting outcomes such as mortality in intensive care units and the progression to end stage kidney disease. His work reflects a commitment to using data responsibly to support clinicians and improve patient care. Alongside his industry work, Leon teaches data analytics and statistics at several institutions, where he is known for making complex quantitative concepts accessible and applicable. Leon’s analytics background also extends to finance, education, and personal development, where he has contributed to projects involving business risk, sales forecasting, and organizational growth. His cross domain experience allows him to connect technical insights with practical applications for both students and professionals.

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.