genomic medicine in africa through data and eDucation


We are developing a comprehensive open source genetic database of African populations and an educational platform for training students and scientists on the use of genetic data in medicine, a new field of medicine called genomic medicine. ​

We are based at the Institute for Biomedical Informatics, Perelman School of Medicine at the University of Pennsylvania. 

our team


geoffrey siwo


Geoffrey Siwo is a postdoctoral researcher at the Perelman School of Medicine, University of Pennsylvania. Geoffrey's interest in developing the United Genomes Project is driven by personal experiences while growing up in Kenya. His basic research interests are in developing scalable solutions for enabling rapid discovery in medicine, especially using genomic information. He is active in open science competitions and led the top teams in developing solutions for estimating human age from DNA (Innocentive Challenge 9933359) and predicting the activity of genes from DNA sequences in the IBM DREAM challenges. He is a co-founder of Helix Nanotechnologies- a company developing a device for recording information inside cells on DNA- and Fit2Cure - a game that crowdsources drug discovery. He holds a B.Sc degree in Biomedical Science from Egerton University, Kenya and a PhD degree in Biology from the University of Notre Dame, IN, USA. He is the recipient of several awards including a TED Global Fellow (2014), Young Investigator Award from Sage Bionetworks (2012), an IBM PhD Scholarship (2011) and an Eck Institute of Global Health Fellowship (2010) at the University of Notre Dame. His work has been featured in USA Today, Fast Company, Ozy, among other media. 


Jason H. Moore is the Director of the Institute for Biomedical Informatics at the Perelman School Medicine, University of Pennsylvania.  Previously, he was the founding Director of the Institute for Quantitative Biomedical Sciences at the Geisel School Medicine, Dartmouth College. Dr. Moore’s NIH-funded research program focuses on the development, evaluation and application of computational methods for identifying and characterizing gene-gene and gene-environment interactions in population-based studies of common human diseases. His work has been communicated in more than 380 publications and is supported by several NIH R01 grants including three from the National Library of Medicine. In 2011 he was elected a Fellow of the American Association for the Advancement of Science (AAAS) in recognition of his scholarship in the areas of computational genetics and translational bioinformatics. He was selected as a Kavli Fellow of the National Academy of Sciences in 2013 and serves as founding Editor-in-Chief of the BioMed Central journal BioData Mining.


Scott Williams is a Professor of Genetics at the Geisel School of Medicine at Dartmouth College. He serves as Associate Director for Undergraduate Studies and Director of the Center for Integrative Biomedical Sciences at the Institute for Quantitative Biomedical Sciences. He also Directs the Human Population Genetics Laboratory at Dartmouth College. He is a population geneticist and international expert in the genetics of health disparities. His research involves the integration of evolutionary histories and disease distributions to better identify genes and gene networks that affect disease prevalence. Specific disease areas of interest include pre-term birth, cardiovascular disease and hypertension.