Speaker Profile
Biography
Tarun leads the development of AIVA, a GenAI-powered platform for genomic variant analysis and rare disease diagnosis. His research focuses on leveraging AI and machine learning to improve molecular diagnosis success rates for rare disease patients. His work has been cited over 300 times and he has presented at major conferences including the Indo US Bridging RARE Summit. He is passionate about making genomic diagnostics faster, more accurate, and affordable for diagnostic labs worldwide.
Talk
When an AI Clinical Analyst Joins the Genomics Team
What If Genomes Could Answer BackClinically? With AIVA, you could simply ask questions about patient's symptoms and get instant, source-verified answers. AIVA transforms genomic interpretation through conversational AI, enabling diagnostic labs to analyze variants in minutes instead of hoursweeks with ACMG-compliant classifications and zero data retention.
Genomic Profiling Showcase:
Mamidi Health
Mamidi Health develops AIVA, an AI-powered platform that transforms genomic variant analysis for diagnostic labs. AIVA reduces diagnosis time from weeks to hours while delivering accurate ACMG-compliant classifications, making rare disease diagnosis faster, cheaper, and more accessible.
Session Abstract – PMWC 2026 Silicon Valley
The PMWC 2026 Genomic Profiling Showcase will provide a 15-30 min speaking opportunity for selected companies working with the latest technologies in nucleic acid sequencing such as NGS, providing instrumentation for genomic sequencing, and offering direct to consumer services. These companies will share their innovative products and services to an audience of leading investors, potential clients and partners. The Genomic Profiling Showcase will exhibit the latest innovations in methods and instruments used for DNA/ RNA sequencing to ascertain the genomic and transcriptional profile of a person in order to understand why some people get certain diseases while others do not, or why people react in different ways to the same drug. This information is also being used to develop new ways to diagnose, treat, and prevent diseases, such as cancer.




