Nick Conley
Chief Technology Officer & Vice President - Technology, Research & Development Locus Biosciences
Dr. Nick Conley is Chief Technology Officer at Locus Biosciences, a clinical-stage biopharma based in Research Triangle Park, North Carolina, where he leads the development of engineered bacteriophages as a novel therapeutic paradigm for the treatment of antibiotic-resistant bacterial infection and microbiome-associated disease. Before its acquisition by Locus in 2018, Nick was co-founder and CEO of EpiBiome, a South San Francisco-based precision microbiome engineering company that built the world’s first fully automated high-throughput phage discovery, characterization, and genomics platform. Nick completed a PhD in Chemistry and a postdoc in Developmental Biology at Stanford University. His interests extend to the application of AI to biology, the science of aging and longevity, liquid biopsy for early-stage cancer detection, and the use of multi-omics to advance therapies for complex immunological diseases.
Seminars
Artificial intelligence is transforming the way we understand and manage complex diseases like IBD. This workshop offers a rare opportunity to explore how AI can accelerate discovery, improve patient stratification, and optimize clinical decision making.
Including interactive breakout with live, follow-along tutorial using commercial software to allow participants to build ML Models based on real IBD datasets, making predictions and exploring real-world applications of AI in drug development.
Key Topics to be Explored:
- Investigate innovative use cases that analyze thousands of clinical, molecular, and microbiome data points to identify key predictors of treatment response and relapse
- Using AI trained exclusively on IBD to classify cell types and quantify populations rapidly
- Understand the limitations of AI including hallucinations, bias, and the importance of specialized prompt engineering. Raise concerns of unpredictability and difficulties in validation for clinical use to overcome future roadblocks
- Highlight the potential to compensate for variability, applying computational approaches to analyze endoscopic videos and advanced imaging, linking visual patterns to clinical outcomes
- Apply tools to monitor clinical response and optimize treatment strategies in IBD, enabling more proactive and personalized care in real-world settings
