Over the last 10 years, the cost of sequencing the human genome has come down to around $1,000 per person. Human genomic data is a gold-mine of information, potentially unlocking the secrets to human health and longevity. As a society, we face ethical and privacy questions related to how to handle human genomic data. Should it be aggregated and made available for medical research? What are the risks to individual’s privacy? This panel will highlight some new cryptographic solutions for securely handling computation on genomic data, including homomorphic encryption and multi-party computation. We have developed demos of SEAL, the MSR Homomorphic Encryption library, which focus on private genomic predictions and health risk related predictions.
Chair: Melissa Chase, Microsoft Research