ABOUT ME

Professional Bio

I’m Neelesh Soni, a computational scientist and postdoctoral researcher at UCSF, working at the intersection of applied mathematics, statistics, machine learning, and structural biology. 

My research focuses on large macromolecular assemblies (e.g., the nuclear pore complex), linking structure, mechanics, and disease-relevant function through integrative and multi-scale modeling. 

I drive end-to-end R&D—from ideation to deployment—translating open-ended scientific questions into measurable deliverables, robust methods, and usable software. 

I build ML/statistical workflows with hands-on experience in Python, SQL, Git, and frameworks including scikit-learn, TensorFlow, and PyTorch, with a growing focus on representation learning and Graph ML for structured biological systems. 

I work effectively in highly collaborative, cross-institutional environments and have mentored students across BS-MS and Ph.D. research projects. 

I enjoy tackling open research problems, developing new ideas, and adapting to evolving directions—contributing as a hands-on builder, technical lead, or mentor as needed. 

Some professional courses I have enjoyed and completed