Daniel Zeiberg
Daniel Zeiberg
Daniel Zeiberg
Daniel Zeiberg
Education
- BSE in Computer Science, University of Michigan
About Me
- Hometown: Mount Laurel, NJ
- Field of Study: Machine Learning
- PhD Advisor: Predrag Radivojac
Biography
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 machine learning methods with applications in clinical medicine.
His research focuses on the development of machine learning methods and their applications in bioinformatics. He focuses on learning in the positive-unlabeled classification setting, a semi-supervised classification setting in which one is interested in learning a binary classifier from a small set of labeled positives and a large set of unlabeled data. This problem setting arises in a variety of applications, including bioinformatics. For example, in one of his current projects, predicting the pathogenicity of genetic mutations, datasets often include a large set of known pathogenic mutations but relatively few known benign mutations. Through methods that the field has developed, it is possible to use learn a classifier that can predict whether the unlabeled mutations cause a disease without seeing any labeled benign mutations.
What Daniel finds most interesting about his research is that the applications he works on will one day have a positive impact on patients. Moving forward, he would like to develop tools that are used to improve patient outcomes.
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?
South Jersey.
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.
Education
- BSE in Computer Science, University of Michigan
About Me
- Hometown: Mount Laurel, NJ
- Field of Study: Machine Learning
- PhD Advisor: Predrag Radivojac
Biography
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 machine learning methods with applications in clinical medicine.
His research focuses on the development of machine learning methods and their applications in bioinformatics. He focuses on learning in the positive-unlabeled classification setting, a semi-supervised classification setting in which one is interested in learning a binary classifier from a small set of labeled positives and a large set of unlabeled data. This problem setting arises in a variety of applications, including bioinformatics. For example, in one of his current projects, predicting the pathogenicity of genetic mutations, datasets often include a large set of known pathogenic mutations but relatively few known benign mutations. Through methods that the field has developed, it is possible to use learn a classifier that can predict whether the unlabeled mutations cause a disease without seeing any labeled benign mutations.
What Daniel finds most interesting about his research is that the applications he works on will one day have a positive impact on patients. Moving forward, he would like to develop tools that are used to improve patient outcomes.
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?
South Jersey.
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.
Recent Publications
Recent Publications
© 2024 Northeastern University
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
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x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...
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About
Programs
Experiential Learning
Research
Life at Khoury
Information for...
© 2024 Northeastern University
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
x
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...