I’m the founder and CEO of BioClarity AI, where we combine machine learning with biological data to accelerate gene therapy and editing research. I hold deep expertise in building AI tools for computational biology and also consult on AI for gene therapy with Alexion AstraZeneca Rare Disease.
Quick links
• Google Scholar • GitHub (personal) • BioClarity-AI org • BioClarity AI website
Areas of expertise
- Network & graph machine learning (link prediction, embeddings, GNNs)
- Computational biology & AI for drug discovery
- Applied AI in rare diseases and gene therapy
- Open science & reproducible research
Ayan received his Ph.D. from the Network Science Institute at Northeastern University under the supervision of Professor Tina Eliassi-Rad. He is interested in graph machine learning, specifically link prediction, graph embeddings, applying network science in graph machine learning, and biological networks. He got his Bachelor of Electronics & Telecommunication Engineering from Jadavpur University, India, and holds a Master’s in Electronic Systems Engineering from the Indian Institute of Science. Before joining NetSI, Ayan worked at NVIDIA, developing and optimizing GPU architectures for AI and video processing applications.