2018-2019 PhD ALUMNI
NAME: |
Junrui Di |
THESIS TITLE: |
Feature
Engineering and Statistical Modeling of Wearable Devices Data |
ADVISOR: |
Vadim Zipunnikov |
POSITION: |
Pfizer |
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NAME: |
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THESIS TITLE: |
Statistical
Reasoning in Network Data |
ADVISOR: |
Elizabeth Ogburn |
POSITION: |
Department of Biostatistics, Brown University School of
Public Health |
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NAME: |
Lu Li |
THESIS TITLE: |
Statistical
Methods and Modeling in Cancer Etiology and Early Detection |
ADVISOR: |
Cristian Tomasetti |
POSITION: |
Google |
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NAME: |
Claire Ruberman |
THESIS TITLE: |
Statistical
Methods in the Analysis of Randomized Control Trials: Applications to
Pre-Exposure Prophylaxis for HIV Prevention and a Community Engagement
Intervention in East Baltimore |
ADVISOR: |
Michael Rosenblum |
CO- ADVISOR: |
Jeffrey Leek |
POSITION: |
FDA |
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NAME: |
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THESIS TITLE: |
Testing
for Genetic Heterogeneity and Building Risk Prediction Models for Cancers
Incorporating Tumor Characteristics |
ADVISOR: |
Nilanjan Chatterjee |
CO- ADVISOR: |
Ni Zhao |
POSITION: |
NCI |
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NAME: |
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THESIS TITLE: |
Optimal
Decision Rule for Combining Multiple Biomarkers into Tree-Based Classifier
and Its Evaluation |
ADVISOR: |
Mei-Cheng Wang |
POSITION: |
Department of Neurology, Johns Hopkins School of Medicine |
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