177 Huntington Avenue
Boston, MA 02115
- BSE in Computer Science, University of Michigan
- Hometown: Mount Laurel, NJ
- Field of Study: Machine Learning
- PhD Advisor: Predrag Radivojac
Daniel Zeiberg is a PhD student at Northeastern University’s Khoury College of Computer Sciences, advised by Predrag Radivojac. He received his BSE in Computer Science from the University of Michigan, where he did undergraduate research developing methods to predict the onset of Acute Respiratory Distress Syndrome. His main area of research is Machine Learning, and he is interested in developing novel methods that can uncover insights in problems relating to bioinformatics.
What are the specifics of your graduate education (thus far)?
I am advised by Predrag Radivojac. In my current project I am developing machine learning methods to estimate the class prior in positive-unlabeled data.
What are your research interests?
I am interested in developing machine learning methods and applying them to bioinformatics problems.
What’s one problem you’d like to solve with your research/work?
I would like to research methods that can handle irregularly sampled time series.
What aspect of what you do is most interesting?
What I, and I think others should, find most interesting about my research is that I develop applications that have a positive impact on people.
What are your research or career goals, going forward?
My career goal is to implement novel machine learning techniques in high impact products and applications.
Where did you grow up or spend your most defining years?
Where did you study for your undergraduate degree?
I received my undergraduate degree from the University of Michigan, where I studied computer science and statistics. I liked Michigan’s school spirit, as I came from a small high school.