
Chisom graduated top 2 from her undergraduate programme in Mathematics and is an incoming Masters student in Human-Inspired AI at the University of Cambridge. Her research interests span the theoretical foundations of Trustworthy AI — in particular, how we can ensure foundational Alignment and Control to make sure that AI systems are trustworthy. These are the same technologies she deploys internally at Burlington Consult.
Chisom leads Burlington Consult's AI and prompt engineering capabilities, building the internal tools that accelerate case research, evidence mapping, and document generation. Her work has reduced research time per petition by over 60% while improving the precision of criterion mapping.
She also contributes to Burlington's Knowledge Center content on AI governance and technology policy — topics that increasingly intersect with EB-1A case strategy for technology professionals.
AI doesn't build cases. People do. But the right tools make the difference between good work and work that's comprehensive enough to survive any RFE.