Description
Join us virtually September 24–25 for The Intelligent Genome: Powered by AI, a two-day symposium exploring how artificial intelligence and machine learning are accelerating discovery for human genetics and genomics professionals worldwide. Connect with leading experts, explore real-world applications, and gain actionable insights through interactive discussions and expert-led presentations.
September 24 and 25, 9:30 AM–3:00 PM ET. Attendees will be eligible to claim 6 CE.
Day One: September 24, 2026
9:30am – 10:00am From Data to Insight: The Strategic Potential of AI in Human Genetics and Genomics (Ankit Malhotra, PhD, AWS Healthcare and Life Sciences)
10:00am – 10:30am Evaluation of a novel AI agent for statistical genetics and target discovery (Vincent Plagnol, PhD, Genomics Ltd)
10:30am – 11:00am Beyond Sequence-Based Models: Deep Hurdle Network Improves Gene Expression Prediction (Devashish Tripathi, BRIC-National Institute of Biomedical Genomics)
11:00am – 11:30am Genetic discovery via AI-derived imaging phenotypes (Degui Zhi, PhD, Yale University)
11:30am – 12:00pm Panel Discussion – (All Speakers)
12:00pm – 1:00pm Break
1:00pm – 1:30pm Unsupervised Graph Learning on Large-Scale Pediatric EHR-Linked Biobank Identifies Clinically Actionable (Rasika Venkatesh, PhD, University of Pennsylvania)
1:30pm – 2:00pm AI-Enabled DNAm Classification of Variants in Neurodevelopmental Disorders (Sanaa Choufani, PhD, The Hospital for Sick Children)
2:00pm – 2:30pm From Hundreds of Outliers to One Diagnosis: Agentic AI for Scalable RNA-seq Triage in the NIH Undiagnosed (Shamika Ketkar, PhD, Baylor College of Medicine)
2:30pm – 3:00pm Panel Discussion – (All Speakers)
Day Two: September 25, 2026
9:30am – 10:00am Application of AlphaGenome to rare non-coding variant discovery and interpretation (Gareth Hawkes, PhD, University of Exeter)
10:00am – 10:30am VCEPilot: Agentic AI execution of ClinGen VCEP specifications achieves expert-aligned variant classification (Xun Song, New Jersey Institute of Technology)
10:30am – 11:00am MARRVEL-MCP: An agentic interface for Mendelian disease discovery via tool-augmented context engineering (Hyun-Hwan Jeong, PhD, Baylor College of Medicine)
11:00am – 11:30am Supervised generative AI for holistic germline variant summarization: turnaround time optimization, community contextualization and hallucination-free safeguard placement (Jose Reverol, Saphetor SA)
11:30am – 12:00pm Panel Discussion – (All Speakers)
12:00pm – 1:00pm Break
1:00pm – 1:30pm AI-Enhanced Quality Improvement to Optimize Germline Genetic Testing in Advanced Prostate Cancer: Harnessing User Customization of an EHR-embedded Clinical Data Intelligence Platform (Kenneth Nepple, MD, University of Iowa Health Care)
1:30pm – 2:00pm A Generative Transformer Trained with Genetics for Forecasting an Individual’s Risk Across Many Diseases (Bertram Koelsch, PhD, 23andMe Research Institute)
2:00pm – 2:30pm Genelio: Talking to Your DNA Through Retrieval-Grounded, ACMG-Aware Plain-Language Interpretation (Vani Priyadarsini Ikkurti, PhD, BioAro Inc)
2:30pm – 3:00pm Panel Discussion – (All Speakers)
