Staff

Course Directors

Nils Gehlenborg
nils@hms.harvard.edu   Website
Nils is an Assistant Professor of Biomedical Informatics. His lab is interested in designing interfaces between data analysts and biomedical data. Nils’ research interests include data visualization, cancer genomics, epigenomics, and data analysis platforms for reproducible research.

Peter Kharchenko
peter_kharchenko@hms.harvard.edu   Website
Peter is an Assistant Professor of Biomedical Informatics. He specializes in development of methods for statistical and integrative analysis of the functional state of the cell from high-throughput data, such as RNA-seq, ChIP-seq, quantitative mass spectrometry, or flow cytometry. His group also has a wetlab component of aimed at automating and scaling up key functional genomics assays using microfluidics.

Guest Lecturers

Radhika Khetani
rkhetani@hsph.harvard.edu   Website
Radhika manages the training program at the Harvard Chan Bioinformatics Core, with a focus on developing bioinformatics workshops and training modules of various lengths for the Harvard community. Her passion is to make genomics data and its analysis accessible to everyone. She has spent the last several years training wet lab biologists to independently perform bioinformatics analyses.

Teaching Assistants

Alex Garruss
garruss@fas.harvard.edu   Website
Alex is a PhD student in the Church lab researching advanced topics in protein engineering. He conducts computational studies to build biosensors for a variety of molecules using screens that couple massively synthesized DNA libraries to high-throughput DNA sequencing.

Adam Brown
adambrown@fas.harvard.edu   Website
Adam is a fourth year graduate student in the lab of Chirag Patel. His work focuses on computational drug repositioning, or the process of identifying new applications for previously approved drugs.

Chamith Fonseka
chamith_fonseka@hms.harvard.edu   Website
Chamith is a fourth year PhD student in Soumya Raychaudhuri’s lab. His research is focused on developing and applying computational methods to better understand the underlying biology of autoimmune disorders like rheumatoid arthritis.

Tiziana Sanavia
tiziana_sanavia@hms.harvard.edu   Website
Tiziana is a post-doc research fellow at Peter Park lab. Her research focused on the development and application of statistical and machine learning methods for the analysis of genomic sequencing data (WGS and RNAseq).

Program Managers

Aimee Smith
aimee_smith@hms.harvard.edu   Website
Aimee is the program manager for the Master in Biomedical Informatics program at Harvard Medical School.