Precision Medicine Pharmacogenomics Bioinformatics Metabolomics Machine Learning Translational Medicine Comparative Medicine Pathway Analysis Genomics Type 2 Diabetes Cardiovascular Disease Cancer Research Biomarker Discovery Clinical Trials Deep Learning

Using Data Science to Drive Precision Medicine

Welcome to the Rotroff Lab

Daniel Rotroff is Assistant Staff in the Department of Quantitiative Health Sciences and Assistant Professor of Medicine at the Cleveland Clinic Lerner College of Medicine at Case Western Reserve University.

My lab focuses on using computational approaches to investigate and better understand the development and treatment of complex diseases. We use a wide-range of computational and experimental approaches using -omics technologies to investigate many aspects of precision medicine, such as biomarker or risk allele discovery for both drug response and disease outcomes. We have several ongoing projects in the areas of type 2 diabetes, cardiovascular disease, obesity, hepatocellular carcinoma, among others. My graduate work was conducted at the University of North Carolina at Chapel Hill and at the National Center for Computational Toxicology at the US EPA. My postdoctoral work was spent in the Bioinformatics Research Center at North Carolina State University.


Understanding the genetic factors influencing drug response.


Identifying metabolite signatures of disease and drug response.


Using computational approaches to solve biological problems.

Pathway-based Analysis

Identifying biological or biochemical pathways enriched in a cohort.

Machine Learning

Selecting variables and developing models to build robust predictive tools.

Clinical Trials

Analysis and interpretation of complex clinical trial designs.

Translational Medicine

Taking experimental data from the bench to the patient's bedside.

Comparative Medicine

Using naturally occuring diseases in animals to better understand human disorders.


Identifying subgroups within a general classification of disease.

Type 2 Diabetes Research

Understanding heterogeneity in drug response and adverse outcomes in patients with T2D

Cancer Research

Understanding the genetic etiology of drug response.

Biomarker Discovery

Discovering biomarkers to inform more targeted therapies.

Precision Medicine

Developing tools for more targeted treatments.

Deep Learning

Using state-of-the-art approaches for predicting patient outcomes.

Current Lab Members

Arshiya Mariam, B.S.

PhD Student

Courtney Hershberger, Ph.D.

Postdoctoral Research Fellow

Vai Pathak, M.S.

Data Scientist

Shreya Louis, B.S.

Medical Student

Hamed Javidi, M.S.

PhD Student

Anukriti Sharma, Ph.D.

Data Scientist

Amika Moro, M.D.

Postdoctoral Research Fellow

Marium Gul Muhammad, M.D.

Postdoctoral Research Fellow

Current Research Areas

Identifying Endophenotypes in Complex Diseases

Integrating Genomics and Metagenomics to Understand Chemotheraphy-inducted Nausea

Whole Genome Prediction of Disease Risk and Drug Response

Recent Featured Publications

Want to join?

I'm sorry to say that we have no open positions at the moment. However, this could change at any point, so please check back often and thank you for your interest!

Get in touch

Daniel Rotroff, MSPH, PhD
Assistant Staff
Department of Quantitative Health Sciences
Lerner Research Institute
Cleveland Clinic

Assistant Professor of Medicine
Cleveland Clinic Lerner College of Medicine
Case Western Reserve University


9500 Euclid Avenue, JJN3-346
Cleveland, OH 44195


+1 216 444 3399

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