Mentor Areas
Developing and applying smarter machine learning (ML) is critical to biomedical data mining and many other real world applications. The URBS-lab is focused on investigating interpretable ML and artificial intelligence methods that can select features and generate predictive/interpretable models, in the presence of complex associations. Tackling these challenges can improve our understanding of disease etiology, risk prediction, and personalized medicine.
Description:
Projects will vary. Interested students should contact us to discuss possibilities.
Preferred Qualifications
Experience with programming in Python and/or other coding languages (mastery of basics preferred, but commitment to learn welcome). Interest and/or experience in machine learning, data analysis, informatics, and/or statistics encouraged.
Details:
Preferred Student Year
First-year, Second-Year, Junior, Senior
Volunteer
Yes
Yes indicates that faculty are open to volunteers.Paid
Yes
Yes indicates that faculty are open to paying students they engage in their research, regardless of their work-study eligibility.Work Study
No
Yes indicates that faculty are open to hiring work-study-eligible students.