Enhancing reproducibility, replicability, and extensibility in epidemiology

Team




Develop strategies to ensure long-term technical suitability of core infrastructure for Epiconductor.
  • Sam Pullman, Harvard Medical School
  • Deepayan Sarkar, Ph.D., Harvard Medical School
  • Jason Payne, M.Sc., Harvard Medical School
  • Andrew Ghazi, PhD, Harvard Medical School

Empower user and developer communities by coordinating training and outreach activities.
  • Jaclyn Mallard, Ph.D., Harvard Medical School
  • Genoa Polumbo, Harvard Medical School
  • Synclaire Oglesby, M.Sc., Harvard Medical School

Robert is an accomplished statistician and computational scientist with extensive experience in academia and industry.

Notably, Dr. Gentleman is a Co-creator of the programming language R, a Founder of the Bioconductor Project, and the Founding Executive Director of the Center for Computational Biomedicine at Harvard Medical School.


Nathan is the Director of Data and Analytics Platforms at the Center for Computational Biomedicine, Harvard Medical School.

Dr. Palmer’s group aims to evaluate and deploy modern data analytic processing and storage platforms that improve research reproducibility, scale, and efficiency.


Rafael is the Associate Director of Knowledge Representation at the Center for Computational Biomedicine, Harvard Medical School.

Dr. Goncalves’ group investigates methods and tools to facilitate the discovery, analysis, and integration of heterogeneous, evolving biomedical datasets originating from multiple sources.


Teresa is a Quantitative Scientist /Biostatistician at 23andMe.

Dr. Sönmez specializes in the field of health data analytics, offering deep expertise in predictive modeling, theoretical statistics, and the analysis of multimodal Real-World Data (RWD). Her focused work aims to unlock insights from vast and complex datasets, contributing to research aimed at improving health-related outcomes.


Chirag is an Associate Professor of Biomedical Informatics in the Department of Biomedical Informatics at Harvard Medical School.

Dr. Patel’s research group develops computational and bioinformatics methods to reproducibly and efficiently reason over high-throughput data streams spanning molecules to populations.


Arjun (Raj) is an Assistant Professor in the Department of Biomedical Informatics at Harvard Medical School.

Dr. Manrai leads a research lab that works broadly on applying machine learning and statistical modeling to improve medical decision-making. Raj is also a founding Deputy Editor of the New England Journal of Medicine (NEJM) AI and co-host of the NEJM AI Grand Rounds podcast.


Jaclyn is the Director of Administration and Education at the Center for Computational Biomedicine, Harvard Medical School.

Dr. Mallard leads the strategic planning and operations for CCB’s Education, Project Collaborations, and Professional Development initiatives along with general administrative management of center staff.


Laha is an Associate Professor at Southwest Jiaotong University.

Dr. Ale was a Postdoctoral Research Fellow at Harvard University’s Center for Computational Biomedicine. His research interests include machine/deep learning, data visualization, and the application of geospatial computing methods to human data.


Sam is a Senior Software Engineer at the Center for Computational Biomedicine, Harvard Medical School.

Working on the Data Analytics Platform, her work has focused on data engineering, open-source web scraping, machine learning, and computer vision.


Dr. Sarkar is an Associate Professor in the Theoretical Statistics and Mathematics Unit of the Indian Statistical Institute of Delhi.


Jason is a Software Engineer at the Center for Computational Biomedicine, Harvard Medical School.

Working on the Knowledge Representation Platform, his work creates tools to assist medical researchers and professors use of ontologies in effective and intuitive ways.


Genoa is a Project Manager at the Center for Computational Biomedicine, Harvard Medical School.

She organizes, tracks, and coordinates computational, data science, and machine learning projects that serve the Harvard Medical School community.


Andrew is a Statistical Geneticist at the Center for Computational Biomedicine, Harvard Medical School.

Dr. Ghazi has extensive expertise in computational analysis. While pursuing his PhD, he studied Bayesian modeling of high-throughput sequencing assays and, during his postdoctoral training, he worked on multi-omic data integration.


Synclaire is a Program Manager at the Center for Computational Biomedicine, Harvard Medical School.

She leads communications objectives, develops strategic plans, and creates materials to bolster community engagement.