iLEAD Values

Interdisciplinary Research

Applying machine learning and other computational tools to datasets without domain knowledge is dangerous! A big no, no!

Collaboration, Collaboration!

Learning to work in teams to create a brighter future and to dream bigger!

Healthcare Innovations

Using technology and computer science to improve healthcare systems and services.

Machine Learning, Artificial Intelligence, Statistics, Data Science

Develop concepts and algorithmic structures to make intelligent decisions

Ethics

We have a responsibility to provide a broader perspective on the implications of technology including where and how it might be used unethically or cause harm.

Privacy and Security

Attacks, unfortunately, are possible in each of the three phases (data collection, training, and inference) of the machine learning pipeline.