Nikhara Nirghin is an actuarial scientist and statistical quantitative researcher with an MBA from London Business School. She previously worked at Goldman Sachs and Deloitte, where she served on Deloitte's forward deployed vertical board. She won the International Best Paper Award on Stochastic Data Modeling from the Reinsurance Group of America.
Her work spans statistical mathematics research, LLM-driven recommendation systems, and high-throughput quantitative trading strategies.
Human cognitive capacity limitations and AI abstraction complexity are the key barriers to accelerating AI advancement, combined with insufficient breakthrough innovations. Chima unblocks the latter by achieving the former as quickly as possible.
"Intelligence is just compression. Everything else is implementation details."
"The most interesting problems live at the intersection of what's theoretically possible and what humans actually need."